{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 机器学习工程师纳米学位\n",
    "## 强化学习\n",
    "## 项目 4: 训练智能出租车学会驾驶\n",
    "\n",
    "欢迎来到机器学习工程师纳米学位的第四个项目！在这个notebook文件中，模板代码已经提供给你，有助于你对*智能出租车*的分析和实现学习算法。你无须改动已包含的代码，除非另有要求。 你需要回答notebook文件中给出的与项目或可视化相关的问题。每一个你要回答的问题前都会冠以**'问题 X'**。仔细阅读每个问题，并在后面**'回答'**文本框内给出完整的回答。你提交的项目会根据你对于每个问题的回答以及提交的`agent.py`的实现来进行评分。 \n",
    "\n",
    ">**提示：** Code 和 Markdown 单元格可通过 **Shift + Enter** 快捷键来执行。此外，Markdown可以通过双击进入编辑模式。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "\n",
    "## 开始\n",
    "在这个项目中，你将构建一个优化的Q-Learning驾驶代理程序，它会操纵*智能出租车* 通过它的周边环境到达目的地。因为人们期望*智能出租车*要将乘客从一个地方载到另一个地方，驾驶代理程序会以两个非常重要的指标来评价：**安全性**和**可靠性**。驾驶代理程序在红灯亮时仍然让*智能出租车*行驶往目的地或者勉强避开事故会被认为是**不安全**的。类似的，驾驶代理程序频繁地不能适时地到达目的地会被认为**不可靠**。最大化驾驶代理程序的**安全性**和**可靠性**保证了*智能出租车*会在交通行业获得长期的地位。\n",
    "\n",
    "**安全性**和**可靠性**用字母等级来评估，如下：\n",
    "\n",
    "| 等级 \t| 安全性 \t| 可靠性 \t|\n",
    "|:-----:\t|:------:\t|:-----------:\t|\n",
    "|   A+  \t| 代理程序没有任何妨害交通的行为，<br/>并且总是能选择正确的行动。| 代理程序在合理时间内到达目的地的次数<br />占行驶次数的100%。 |\n",
    "|   A   \t| 代理程序有很少的轻微妨害交通的行为，<br/>如绿灯时未能移动。| 代理程序在合理时间内到达目的地的次数<br />占行驶次数的90%。 |\n",
    "|   B   \t| 代理程序频繁地有轻微妨害交通行为，<br/>如绿灯时未能移动。| 代理程序在合理时间内到达目的地的次数<br />占行驶次数的80%。 |\n",
    "|   C   \t| 代理程序有至少一次重大的妨害交通行为，<br/>如闯红灯。| 代理程序在合理时间内到达目的地的次数<br />占行驶次数的70%。 |\n",
    "|   D   \t| 代理程序造成了至少一次轻微事故，<br/>如绿灯时在对面有车辆情况下左转。\t| 代理程序在合理时间内到达目的地的次数<br />占行驶次数的60%。 |\n",
    "|   F   \t| 代理程序造成了至少一次重大事故，<br/>如有交叉车流时闯红灯。\t| 代理程序在合理时间内到达目的地的次数<br />未能达到行驶次数的60%。 |\n",
    "\n",
    "为了协助评估这些重要的指标，你会需要加载可视化模块的代码，会在之后的项目中用到。运行下面的代码格来导入这个代码，你的分析中会需要它。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Import the visualization code\n",
    "import visuals as vs\n",
    "\n",
    "# Pretty display for notebooks\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 了解世界\n",
    "在开始实现你的驾驶代理程序前，首先需要了解*智能出租车*和驾驶代理程序运行的这个世界（环境）。构建自我学习的代理程序重要的组成部分之一就是了解代理程序的特征，包括代理程序如何运作。原样直接运行`agent.py`代理程序的代码，不需要做任何额外的修改。让结果模拟运行一段时间，以观察各个不同的工作模块。注意在可视化模拟程序（如果启用了），**白色车辆**就是*智能出租车*。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 1\n",
    "用几句话，描述在运行默认的`agent.py`代理程序中，你在模拟程序里观察到了什么。一些你可以考虑的情况：\n",
    "- *在模拟过程中，智能出租车究竟移动了吗？*\n",
    "- *驾驶代理程序获得了什么样的奖励？*\n",
    "- *交通灯的颜色改变是如何影响奖励的？*\n",
    "\n",
    "**提示：** 从顶层的`/smartcab/`目录（这个notebook所在的地方），运行命令\n",
    "```bash\n",
    "'python smartcab/agent.py'\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "- 在初始模拟过程中，白色的出租车并没有移动，始终呆在原地。每一个Trial都会随机选取白色出租车的初始位置，并持续125个回合就结束。\n",
    "\n",
    "\n",
    "- 程序获得的奖励有正有负，根据当时交通情况和自己的行为所决定，并且奖励的取值在一定范围内具有随机性。\n",
    "\n",
    "\n",
    "- 红绿灯颜色和汽车的action之间的奖励关系如下表所示（只列出了汽车保持不动前提下的可能奖励情况）：\n",
    "\n",
    "操作 | 属性 | 奖励取值范围\n",
    "--- | ---  | ---\n",
    "Agent idled at red light | 正确 | (1, 4)\n",
    "Agent idled at green light with oncoming traffic | 正确 | (0, 2)\n",
    "Agent idled at green light without oncoming traffic | 错误 | (-3, -6)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 理解代码\n",
    "除了要了解世界之外，还需要理解掌管世界、模拟程序等等如何运作的代码本身。如果一点也不去探索一下*“隐藏”*的器件，就试着去创建一个驾驶代理程序会很难。在顶层的`/smartcab/`的目录下，有两个文件夹：`/logs/` （之后会用到）和`/smartcab/`。打开`/smartcab/`文件夹，探索每个下面的Python文件，然后回答下面的问题。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 2\n",
    "- *在*`agent.py`* Python文件里，选择 3 个可以设定的 flag，并描述他们如何改变模拟程序的。*\n",
    "- *在*`environment.py`* Python文件里，当代理程序执行一个行动时，调用哪个Environment类的函数？*\n",
    "- *在*`simulator.py`* Python 文件里，*`'render_text()'`*函数和*`'render()'`*函数之间的区别是什么?*\n",
    "- *在*`planner.py`* Python文件里，*`'next_waypoint()`* 函数会先考虑南北方向还是东西方向?*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "### 问：在agent.py Python文件里，选择 3 个可以设定的 flag，并描述他们如何改变模拟程序的。\n",
    "\n",
    "答：\n",
    "\n",
    "- **`verbose`** 输出更详细的log开关，打开以后，每一步都会显示具体的运行状态。如下所示：\n",
    "\n",
    "    ```\n",
    "    Environment.step(): t = 0\n",
    "    Environment.act() [POST]: location: (4, 3), heading: (0, 1), action: None, reward: 1.85288348248\n",
    "    Environment.act(): Step data: {'inputs': {'light': 'red', 'oncoming': None, 'right': None, 'left': None}, 'violation': 0, 'light': 'red', 'state': None, 'deadline': 20, 't': 0, 'action': None, 'reward': 1.852883482478364, 'waypoint': 'left'}\n",
    "    ```\n",
    "\n",
    "- **`num_dummies`** 设定棋盘上其他车辆的个数。数值越大，交通情况越复杂。但是不能超过棋盘所能容纳的总节点个数。\n",
    "\n",
    "- **`grid_size`** 设定棋盘的尺寸，形如 `(x, y)`，其中x表示路口的列数，y表示路口的行数。\n",
    "\n",
    "- **`update_delay`** 棋盘更新的速率，以秒为单位，数值越大，更新的越慢。\n",
    "\n",
    "- **`display`** 设定是否显示GUI界面。如果想要快速运行，可以把GUI关掉。\n",
    "\n",
    "- **`log_metrics`** 设定是否将模拟结果存储在单独的log文件中。\n",
    "\n",
    "\n",
    "\n",
    "### 问：在`environment.py` 文件里，当代理程序执行一个行动时，调用了Environment类的哪个函数？\n",
    "\n",
    "答：用的是 `Environment.act(self, agent, action)` 函数。\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "### 问：在`simulator.py`  文件里，`render_text()` 函数和 `render()` 函数之间的区别是什么?\n",
    "\n",
    "答：`render_text()`负责往console里输出agent的运行情况信息，而 `render()` 则负责在GUI界面上显示agent的运行情况的文字和图像信息。\n",
    "\n",
    "\n",
    "\n",
    "### 问：在 `planner.py` 文件里，`next_waypoint()` 函数会先考虑南北方向还是东西方向?\n",
    "\n",
    "答：会先考虑东西方向，再考虑南北方向。因为代码里面条件语句的结构是：\n",
    "\n",
    "```python\n",
    "if dx == 0 and dy == 0:\n",
    "    ...\n",
    "elif dx != 0:\n",
    "    ...\n",
    "elif dy != 0:\n",
    "    ...\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "## 实现一个基本的驾驶代理程序\n",
    "\n",
    "创建一个优化Q-Learning的驾驶代理程序的第一步，是让代理程序确实地执行有效的行动。在这个情况下，一个有效的行动是`None`（不做任何行动）、`'Left'`（左转）、`'Right'`（右转）或者`'Forward'`（前进）。作为你的第一个实现，到`'choose_action()'`代理程序函数，使驾驶代理程序随机选择其中的一个动作。注意你会访问到几个类的成员变量，它们有助于你编写这个功能，比如`'self.learning'`和`'self.valid_actions'`。实现后，运行几次代理程序文件和模拟程序来确认你的驾驶代理程序每步都执行随机的动作。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "就是在 choose_action() 函数里加了一句话：\n",
    "```\n",
    "action = random.choice(self.valid_actions)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 基本代理程序模拟结果\n",
    "要从最初的模拟程序获得结果，你需要调整下面的标志：\n",
    "- `'enforce_deadline'` - 将此标志设定为`True`来强制驾驶代理程序捕获它是否在合理时间内到达目的地。\n",
    "- `'update_delay'` - 将此标志设定为较小数值（比如`0.01`）来减少每次试验中每步之间的时间。\n",
    "- `'log_metrics'` - 将此标志设定为`True`将模拟结果记录为在`/logs/`目录下的`.csv`文件。\n",
    "- `'n_test'` - 将此标志设定为`'10'`则执行10次测试试验。\n",
    "\n",
    "可选的，你还可以通过将`'display'`标志设定为`False`来禁用可视化模拟（可以使得试验跑得更快）。调试时，设定的标志会返回到他们的默认设定。重要的是要理解每个标志以及它们如何影响到模拟。\n",
    "\n",
    "你成功完成了最初的模拟后（有20个训练试验和10个测试试验），运行下面的代码单元格来使结果可视化。注意运行同样的模拟时，日志文件会被覆写，所以留意被载入的日志文件！在 projects/smartcab 下运行 agent.py 文件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YYy4gIkJaWhqnT58GIC0tjZo1a/pt4ztEuvEnIqFADXzyP1X9qfhSZIwxprSx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\nGlZaaekJkGfOTMnW44+nMkPrOM49t9YRmJl1ngSrURFxUGFZ0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      "text/plain": [
       "<matplotlib.figure.Figure at 0x8cfecf0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the 'sim_no-learning' log file from the initial simulation results\n",
    "vs.plot_trials('sim_no-learning.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 3\n",
    "利用上面的从你初始模拟中得到的可视化结果，给出关于驾驶代理程序的分析和若干观察。确保对于可视化结果上的每个面板你至少给出一条观察结果。你可以考虑的一些情况：\n",
    "- *驾驶代理程序多频繁地做出不良决策？有多少不良决策造成了事故？*\n",
    "- *假定代理程序是随机驾驶，那么可靠率是否合理？*\n",
    "- *代理程序对于它的行动会获得什么样的奖励？奖励是否表明了它收到严重的惩罚？*\n",
    "- *随着试验数增加，结果输出是否有重大变化？*\n",
    "- *这个智能出租车对于乘客来说，会被人为是安全的且/或可靠的吗？为什么或者为什么不？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**答案：**\n",
    "\n",
    "### 问：驾驶代理程序多频繁地做出不良决策（Bad Actions）？有多少不良决策造成了事故（Accidents）？\n",
    "\n",
    "答：从不良决策频率图表（Frequency of Bad Actions）中可以看到，不良决策（黑色虚线）的出现频率大概在30%至40%之间。其中造成事故的不良决策（红色虚线及红色实线）出现频率为大概在10%左右。\n",
    "\n",
    "### 问：假定代理程序是随机驾驶，那么可靠率是否合理？\n",
    "\n",
    "答：从可靠性图表（Rate of Reliability）中可以看到，每轮的可靠性基本上都保持在20%左右。这对于随机驾驶已经够高的了。\n",
    "\n",
    "### 问：代理程序对于它的行动会获得什么样的奖励？奖励是否表明了它收到严重的惩罚？\n",
    "\n",
    "答：从驾驶操作平均奖励图表（Average Rewars per Actions）中可以看到，平均的奖励值大概都在 -5 左右。基本上奖励值负的越厉害惩罚越严重。例如在实时运行的log中可以看到 `Agent attempted driving forward through a red light with traffic and cause a major accident. (rewarded -40.66)`，即 major accident的奖励值惩罚比较严重。\n",
    "\n",
    "### 问：随着试验数增加，结果输出是否有重大变化？\n",
    "\n",
    "答：基本上没有特重大的变化，经过多次尝试，可靠性和安全性会随着训练次数的增加随机的波动，但是并不具有统一的改善或者恶化趋势。\n",
    "\n",
    "### 问：这个智能出租车对于乘客来说，会被人为是安全的且/或可靠的吗？为什么或者为什么不？\n",
    "\n",
    "答：不可能被认为是安全或可靠的。因为评分都是F，既不安全也不可靠。安全性上，由于经常出现重大交通事故，因此很不安全。可靠性上，由于根本就是随机驾驶，能抵达终点的可能性很低。本质上，小车没有学习能力。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "## 通知驾驶代理程序\n",
    "创建一个优化Q-Learning的驾驶代理程序的第二步，是定义一系列代理程序会在环境中发生的状态。根据输入、感知数据和驾驶代理程序可用的变量，可以为代理程序定义一系列状态，使它最终可以*学习*在一个状态下它需要执行哪个动作。对于每个状态的`'如果这个处于这个状态就那个行动'`的状况称为**策略**，就是最终驾驶代理程序要学习的。没有定义状态，驾驶代理程序就不会明白哪个动作是最优的——或者甚至不会明白它要关注哪个环境变量和条件！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 识别状态\n",
    "查看`'build_state()'`代理程序函数，它显示驾驶代理函数可以从环境中获得下列数据：\n",
    "- `'waypoint'`，*智能出租车*去向目的地应该行驶的方向，它是*智能出租车*车头方向的相对值。它包括四种可能的选择：\n",
    "  - `None`\n",
    "  - `Forward`\n",
    "  - `Left`\n",
    "  - `Right`\n",
    "\n",
    "\n",
    "- `'inputs'`，*智能出租车*的感知器数据。它包括\n",
    "  - `'light'`，交通灯颜色。\n",
    "  - `'left'`，*智能出租车* **左侧**车辆的目的方向。如果没有车辆，则返回`None`。\n",
    "  - `'right'`，*智能出租车* **右侧**车辆的目的方向。如果没有车辆，则返回`None`。\n",
    "  - `'oncoming'`，*智能出租车* **对向**车道车辆的目的方向。如果没有车辆，则返回`None`。\n",
    "\n",
    "\n",
    "- `'deadline'`，*智能出租车*在时间之内到达目的地还所需的剩余动作数目。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 4\n",
    "*代理程序的哪些可用特征与学习**安全性**和**效率**相关性最高？你为什么认为这些特征适合在环境中对**智能出租车**建模？如果你没有选择某些特征，放弃他们的原因是什么？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：** 判断特征是否重要，首先需要了解小车所在的这个世界的游戏规则。\n",
    "\n",
    "### 1. 驾驶等级\n",
    "\n",
    "`environment.py` 中给出了对小车驾驶行为的评分等级。\n",
    "\n",
    "- 0: Action okay\n",
    "- 1: Minor traffic violation\n",
    "- 2: Major traffic violation\n",
    "- 3: Minor traffic violation causing an accident\n",
    "- 4: Major traffic violation causing an accident\n",
    "\n",
    "可以看到，只有0级才表示小车的action完全合法，其他的四种等级都属于bad action。由于bad action并不一定造成事故，因此又分为造成事故（3/4）和未造成事故两种情况（1/2）。\n",
    "\n",
    "\n",
    "### 2. 针对小车的交规\n",
    "\n",
    "`environment.py` 中也给出了专门针对小车的交通规则，以及奖励机制。\n",
    "\n",
    "```python\n",
    "# Agent wants to drive forward:\n",
    "if action == 'forward':\n",
    "    if light != 'green':                                                        \n",
    "        violation = 2                                                           \n",
    "        if inputs['left'] == 'forward' or inputs['right'] == 'forward':         # 涉及左侧、右侧车道情况\n",
    "            violation = 4                                                       \n",
    "\n",
    "# Agent wants to drive left:\n",
    "elif action == 'left':\n",
    "    if light != 'green':                                                        \n",
    "        violation = 2                                                           \n",
    "        if inputs['left'] == 'forward' or inputs['right'] == 'forward':         # 涉及左侧、右侧车道情况\n",
    "            violation = 4                                                       \n",
    "        elif inputs['oncoming'] == 'right':                                     # 涉及对向车道情况\n",
    "            violation = 4                                                       \n",
    "    else:                                                                       \n",
    "        if inputs['oncoming'] == 'right' or inputs['oncoming'] == 'forward':    # 涉及对向车道情况\n",
    "            violation = 3                                                       \n",
    "        else:                                                                   \n",
    "            heading = (heading[1], -heading[0])\n",
    "\n",
    "# Agent wants to drive right:\n",
    "elif action == 'right':\n",
    "    if light != 'green' and inputs['left'] == 'forward':       # 涉及左侧车道情况 \n",
    "        violation = 3                                           \n",
    "    else:                                                       \n",
    "        heading = (-heading[1], heading[0])\n",
    "\n",
    "# Agent wants to perform no action:\n",
    "elif action is None:\n",
    "    if light == 'green' and inputs['oncoming'] != 'left':      # 涉及对向车道情况\n",
    "        violation = 1 \n",
    "```\n",
    "- 由上面代码可以总结出交规所允许的全部**合法驾驶模式**如下：\n",
    "\n",
    "信号灯 light | 行为 action | 对向车道情况 oncoming | 左侧车道情况 left | 右侧车道情况 right | 驾驶类别\n",
    "---         | ---        | ---                 | ---             | ---              | ---\n",
    "绿灯         | 直行        | 不用管               | 不用管           | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "绿灯         | 左转        | 有车左转             | 不用管           | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "绿灯         | 右转        | 不用管               | 不用管           | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "红灯         | 右转        | 不用管               | 有车左转或右转     | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "红灯         | 不动        | 不用管               | 不用管           | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "绿灯         | 不动        | 有车左转              | 不用管            | 不用管  | $\\color{green} {\\mathbf{0}}$\n",
    "\n",
    "在第一次提交报告的时候，因为我看到合法驾驶模式中，右侧车道情况始终处于“不用管”的状态，所以就认为右侧车道情况这个特征无关紧要，可以舍弃。\n",
    "\n",
    "但是实际上，在**划分不同严重程度的非法驾驶模式**时，右侧车道情况是有用的：\n",
    "\n",
    "信号灯 light | 行为 action | 对向车道情况 oncoming | 左侧车道情况 left | 右侧车道情况 right | 非法驾驶类别\n",
    "---         | ---        | ---                  | ---             | ---              | ---\n",
    "红灯         | 直行        | 无车       | 无车           | **无车**           | $\\color{orange} {\\mathbf{2}}$\n",
    "红灯         | 直行        | 无车       | 无车           | **有车直行**        | $\\color{red} {\\mathbf{4}}$\n",
    "红灯         | 左转        | 无车       | 无车           | **无车**           | $\\color{orange} {\\mathbf{2}}$\n",
    "红灯         | 左转        | 无车       | 无车           | **有车直行**        | $\\color{red} {\\mathbf{4}}$\n",
    "\n",
    "因此考虑到小车肯定要追求最大的reward，而非法驾驶类别不同会导致reward也不同，这对于训练驾驶规则具有指示作用，因此右侧车道情况这个特征不能被抛弃。\n",
    "\n",
    "### 3. 针对其他车辆的交规\n",
    "\n",
    "`environment.py` 中对于Dummy Agent具有单独的行为判定逻辑。与Agent不同的是，所有Dummy Agent已经被限定为不会违反交通规则，只要发现所接收到的导航行为违反交通规则，Dummy Agent就会无条件的保持不动一次。（而Agent则可以自由选择是否要违反交通规则，即使不违反交通规则，也不一定非要通过保持不动来做到。）\n",
    "> 比如Dummy Agent的下个导航指令是直行，但是此时它的灯是红灯，那么它并不会直行，而是保持不动。而Agent如果面对同样情况，则可以选择直行，并获得一个负的奖励值，或者选择右转而不直行等等。\n",
    "\n",
    "```python\n",
    "action_okay = True\n",
    "if self.next_waypoint == 'right':\n",
    "    if inputs['light'] == 'red' and inputs['left'] == 'forward':\n",
    "        action_okay = False\n",
    "elif self.next_waypoint == 'forward':\n",
    "    if inputs['light'] == 'red':\n",
    "        action_okay = False\n",
    "elif self.next_waypoint == 'left':\n",
    "    if inputs['light'] == 'red' or (inputs['oncoming'] == 'forward' or inputs['oncoming'] == 'right'):\n",
    "        action_okay = False\n",
    "# Only assign when action is ok.        \n",
    "action = None\n",
    "if action_okay:\n",
    "    action = self.next_waypoint\n",
    "    self.next_waypoint = random.choice(Environment.valid_actions[1:])\n",
    "```\n",
    "\n",
    "### 4. 总结\n",
    "\n",
    "根据上面的代码分析，小车所在的世界存在以下假设：\n",
    "\n",
    "- 所有小车（包括agent和dummy agent）都认为这个世界的其他人都是完美驾驶。\n",
    "- 相互垂直的路口红绿灯状态始终互斥。相互平行的路口红绿灯状态始终相同。\n",
    "\n",
    "\n",
    "### 5. 特征选择\n",
    "\n",
    "- **安全性方面需要选择的相关特征**\n",
    "    - `inputs['light']` 最关键，决定是否会闯红灯。\n",
    "    - `inputs['oncoming']` 决定是否能够绿灯左转。\n",
    "    - `inputs['left']` 决定是否能红灯右转。也决定红灯是直行或左转的严重性。\n",
    "    - `inputs['right']` 决定红灯时直行或左转的非法严重性（是否造成事故）。（之前没有考虑到）\n",
    "    \n",
    "    \n",
    "- **可靠性方面需要选择的相关特征**\n",
    "    - `waypoint` 决定了不考虑交通情况的最快的驾驶方向。不选的话，无法确保小车能够开到目的地。\n",
    " \n",
    " \n",
    "- **为什么不选 `deadline` 这个特征**\n",
    "\n",
    "    - 从逻辑上分析，deadline是一个时序随机变量，而且其初始状态也是随机的，与是否安全快速抵达的关系并不大。因为我们已经有了导航，导航告诉我们的是不考虑交通情况下的最短路径，因此我们即使不管deadline，只把握当下的信号灯、交通情况、导航路线，就已经可以做到即安全又可靠的抵达目的地了。所以不选。\n",
    "\n",
    "    - 从代码实现上分析，由于 environment.py 的 `reset()` 函数显示deadline的初始值等于初始位置与目的地距离的5倍。因此这个特征的可能状态是地图大小以及初始状态随机决定的。对于目前的棋盘大小来讲，初始状态下deadline的平均值是24左右，乘上其他几个必备特征的状态数，总状态数就立刻上升至将近3000个。想要遍历这么多状态，对于训练的要求就太高了。所以不选。\n",
    "\n",
    "### 关于真实世界\n",
    "\n",
    "虽然对于这个世界，所有车都假设别人是不会违规的，而且从Dummy Agent的角度上来看的话，即使遇到Agent违规造成车祸，Dummy Agent也不会规避。\n",
    "\n",
    "但是在真实世界中，真遇到对方违规的话，那么即使自己堵塞交通也要给人家让路，保命要紧啊。所以这是一个博弈问题。如果大家都守规矩，那么大家都爽。在大家都不守规矩的时候，每个人的奖励值其实都是负的。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 定义状态空间\n",
    "当定义一系列代理程序会处于的状态，必需考虑状态空间的*大小*。就是说，如果你期望驾驶代理程序针对每个状态都学习一个**策略**，你会需要对于每一个代理状态都有一个最优的动作。如果所有可能状态的数量非常大，最后会变成这样的状况，驾驶代理程序对于某些状态学不到如何行动，会导致未学习过的决策。例如，考虑用下面的特征定义*智能出租车*的状态的情况：\n",
    "\n",
    "`('is_raining', 'is_foggy', 'is_red_light', 'turn_left', 'no_traffic', 'previous_turn_left', 'time_of_day')`.\n",
    "发生如`(False, True, True, True, False, False, '3AM')`的状态的频次如何？没有近乎无限数量的训练，很怀疑代理程序会学到一个合适的动作！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 5\n",
    "*如果用你在**问题4**中选择的特征来定义一个状态，状态空间的大小是多少？假定你了解环境以及它是如何模拟的，你觉得经过合理数量的训练之后，代理驾驶能学到一个较好的策略吗？（遇见绝大部分状态都能作出正确决策。）*\n",
    "**提示：** 考虑特征*组合*来计算状态的总数！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "由于问题4里已经分析至少需要5个特征才能比较全面的提供安全性和效率方面的指示，因此可以得到由下表所示的状态空间：\n",
    "\n",
    "特征 | 可能取值个数 | 可能取值\n",
    ":--- | ---      | ---\n",
    "light | 2       | red, green\n",
    "oncoming | 4    | None, forward, left, right\n",
    "left  | 4       | None, forward, left, right\n",
    "right  | 4       | None, forward, left, right\n",
    "waypoint | 3    | forward, left, right\n",
    "\n",
    "- **注意**：waypoint是planner给出的最近导航路线，由于是导航，它不可能输出让你不动的这个action，因此总取值个数不是4，而是3.\n",
    "\n",
    "**对状态可能取值进行全排列，总状态数是384。**\n",
    "\n",
    "如果让小车通过训练随机驾驶收集足够多的状态值，覆盖绝大多数状态，那么agent应该能够学到一个较好的驾驶策略。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 更新驾驶代理程序的状态\n",
    "要完成你的第二个实现，去到`'build_state()'`代理程序函数。根据你在**问题4**给出的判断，你现在要将`'state'`变量设定为包含所有Q-Learning所需特征的元组。确认你的驾驶代理程序通过运行代理程序文件和模拟会更新它的状态，注意状态是否显示了。如果用了可视化模拟，确认更新的状态和在模拟程序里看到的一致。\n",
    "\n",
    "**注意：** 观察时记住重置模拟程序的标志到默认设定！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "## 实现Q-Learning驾驶代理程序\n",
    "创建一个优化Q-Learning的驾驶代理程序的第三步，是开始实现Q-Learning自身的功能。Q-Learning的概念相当直接：每个访问的状态，为所有可用的状态-行动配对在Q-table里创建一条记录。然后，当代理程序遇到一个状态并执行了一个动作，基于获得的奖励和设定的相互的更新规则，来更新关联的状态-动作配对的Q-value。当然，Q-Learning还带来其他的收益，如此我们可以让代理程序根据每个可能的状态-动作配对的Q-values，来为每个状态选择*最佳*动作。在这个项目里，你会实现一个*衰减* $\\varepsilon$ *-贪心* 的Q-learning算法，不含折扣因子。遵从每个代理程序函数的**TODO**下的实现指导。\n",
    "\n",
    "注意代理程序的属性`self.Q`是一个字典：这就是Q-table的构成。每个状态是`self.Q`字典的键，每个值是另一个字典，包含了*action*和*Q-value*。这里是个样例：\n",
    "\n",
    "```\n",
    "{ 'state-1': { \n",
    "    'action-1' : Qvalue-1,\n",
    "    'action-2' : Qvalue-2,\n",
    "     ...\n",
    "   },\n",
    "  'state-2': {\n",
    "    'action-1' : Qvalue-1,\n",
    "     ...\n",
    "   },\n",
    "   ...\n",
    "}\n",
    "```\n",
    "\n",
    "此外，注意你要求利用一个*衰减* $\\varepsilon$ *（探索）因子*。因此，随着试验的增加， $\\varepsilon$ 会向0减小。这是因为，代理程序会从它的行为中学习，然后根据习得的行为行动。而且当 $\\varepsilon$ 达到特定阈值后（默认阈值为0.05），代理程序被以它所学到的东西来作检测。作为初始的Q-Learning实现，你将实现一个线性衰减 $\\varepsilon$ 的函数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q-Learning模拟结果\n",
    "要从最初的Q-learning程序获得结果，你需要调整下面的标志和设置：\n",
    "- `'enforce_deadline'` - 将此标志设定为`True`来强制驾驶代理程序捕获它是否在合理时间内到达目的地。\n",
    "- `'update_delay'` - 将此标志设定为较小数值（比如`0.01`）来减少每次试验中每步之间的时间。\n",
    "- `'log_metrics'` - 将此标志设定为`True`将模拟结果记录为在`/logs/`目录下的`.csv`文件，Q-table存为`.txt`文件。\n",
    "- `'n_test'` - 将此标志设定为`'10'`则执行10次测试试验。\n",
    "- `'learning'` - 将此标志设定为`'True'`来告诉驾驶代理使用你的Q-Learning实现。\n",
    "\n",
    "此外，使用下面的$\\epsilon$衰减函数：\n",
    "\n",
    "$$ \\varepsilon_{t+1} = \\varepsilon_{t} - 0.05, \\hspace{10px}\\textrm{for trial number } t$$\n",
    "\n",
    "如果你在实施时遇到困难，尝试把`'verbose'`标志设为`True`来调试。调试时，在这里设定的标志会返回到它们的默认设定。重要的是你要理解每个标志做什么并且解释它们怎么影响模拟！\n",
    "\n",
    "当你成功完成初始的Q-Learning模拟程序后，运行下面代码单元格来使结果可视化。注意当相同的模拟运行时，log文件会被覆写，所以要留意载入的log文件！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BYmIilSpVIjw83Nsn6/fff+f48ePZ9iXr/k+cOBFw+qLWqFGD0NDQHPdj586d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\n1SZYd5N6kE4EliINE/xmRDR1j4OWtrsw8ABwfERcL+m9UoKV178bEYuX7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      "text/plain": [
       "<matplotlib.figure.Figure at 0x9bbeaf0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the 'sim_default-learning' file from the default Q-Learning simulation\n",
    "vs.plot_trials('sim_default-learning.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 6\n",
    "利用上面的从你默认的Q-Learning模拟中得到的可视化结果，像在**问题3**那样，给出关于驾驶代理程序的分析和若干观察。注意模拟程序应该也产生了Q-table存在一个文本文件中，可以帮到你观察代理程序的算法。你可以考虑的一些情况：\n",
    "- *有没有观察到基本驾驶代理程序和默认的Q-Learning代理程序的相似之处？*\n",
    "- *在测试之前驾驶代理大约需要做多少训练试验？在给定的$\\epsilon$ 容忍度下，这个数字是否合理？*\n",
    "- *你实现的 $\\varepsilon$ （探索因子）衰减函数是否准确地在参数面板中显示？*\n",
    "- *随着试验数增加，不良动作的数目是否减少?平均奖励是否增加？*\n",
    "- *与初始的驾驶代理程序相比，安全性和可靠性评分怎样？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "### 问：有没有观察到基本驾驶代理程序和默认的Q-Learning代理程序的相似之处？\n",
    "\n",
    "答：通过上面的图表可以看到，一开始的Trial的Bad Action占比个数就在30%-40%左右，这和问题3中对于不学习的agent的性能是十分相似的。\n",
    "\n",
    "另外通过以下代码同样也可以看到，choose_action()函数中，如果开启学习模式，那么agent在一开始时候的行为，完全等效于关闭学习模式时的随机驾驶状态，根本不考虑next_waypoint()给出的导航路线，于此同时，每次调用action()之后，我们都会通过learn()把当前状态下的操作奖励记录到Q值表里，可以理解为总结经验教训。\n",
    "\n",
    "随着epsilon每次以0.05的步长逐渐减小，进入到第二个if语句里面的可能性越来越小，进入到第二个else的可能性越来越大，也就是说，agent会越来越倾向于直接用Q值表里的最佳操作（以前随机探索试错收获的经验教训），而不再倾向于随机探索试错。\n",
    "\n",
    "```python\n",
    "if not self.learning:\n",
    "    action = random.choice(self.valid_actions)       # Pick a random action from all 4 valid actions.\n",
    "else:\n",
    "    if random.random() < self.epsilon:               # epsilon decay from 1 to 0\n",
    "        action = random.choice(self.valid_actions)   # Pick a random action from all 4 valid actions.\n",
    "    else:\n",
    "        # action = max(self.Q[state], key=self.Q[state].get)  # Get the key with max Q Score\n",
    "        # 需要考虑具有多个最大值的情况，应随机抽取\n",
    "        max_Q = max(self.Q[state].values())\n",
    "        max_candidate = [x for x in self.Q[state] if self.Q[state][x] == max_Q]\n",
    "        action = random.choice(max_candidate)\n",
    "```\n",
    "\n",
    "\n",
    "### 问：在测试之前驾驶代理大约需要做多少训练试验？在给定的 $\\varepsilon$ 容忍度下，这个数字是否合理？\n",
    "\n",
    "答：开启学习模式后，simulator.py的代码判断从训练进入测试模式的准则是看epsilon是否小于tolerance。由于步长是0.05，因此epsilon从1降到小于0.05需要20次。也就是说训练次数等于20。\n",
    "\n",
    "通过跟踪 `len(self.Q)` 值的变化，可以看到在完成20次训练后，Q值表的长度大概能够达到170左右，距离全状态数（384）有50%多的差距。而且实际上Q值表中真正非零的Q值（即已经至少试错过一次的状态-行动组合）只有不到300个，覆盖率只有20%，因此实际上训练的还不够多。\n",
    "\n",
    "\n",
    "### 问：你实现的  $\\varepsilon$  （随机探索因子）的衰减规律是否准确地在参数面板中显示？\n",
    "\n",
    "答：是的。可以看到代表epsilon的蓝色直线以恒定斜率从1下降至0。\n",
    "\n",
    "\n",
    "### 问：随着试验数增加，不良动作的数目是否减少?平均奖励是否增加？\n",
    "\n",
    "答：是的。黑色虚线表示的总bad action个数随试验次数增加，从36%下降至20%，同时平均奖励随实验次数增大而从-4上升至-2。\n",
    "\n",
    "\n",
    "### 问：与初始的驾驶代理程序相比，安全性和可靠性评分怎样？\n",
    "\n",
    "答：初始的agent无论是安全性还是效率都是最低分（双F），这是由于agent根本不能从训练中学到任何东西，而仅仅是随机的驾驶，因此很多时候会导致交通事故（安全性差），或者导致根本到不了目的地（可靠性差）。\n",
    "\n",
    "相比之下，目前修改后的agent在经过20轮训练后，Bad Action的占比从36%下降至20%左右，可靠性没有明显变化，平均奖励分数也从-4上升至-2。从评分上看，可靠性从F上升至B，但安全性依然很差。\n",
    "\n",
    "\n",
    "\n",
    "### Tips：关于Q-Table的填充\n",
    "\n",
    "虽然已经证明目前Q-Table最多有384个状态 $\\mathbf{S}$ ，但是我们将会发现每个状态 $\\mathbf{S}$ 还要对应于实际可能采用的4种操作 $\\mathbf{Action}$，才能表示所有 $\\mathbf{S \\to S^{\\prime}}$ 情况的奖励数值。\n",
    "\n",
    "所以，即使看到 `len(self.Q)` 接近满状态数（384），也并不能说明小车已经学到了世界的万事万物，因为每个状态的4个操作并不一定全都学到过奖励。只有当Q-Table内的384个状态内共计1536个**状态-操作**组合对应的奖励值都不是初始值的时候，才能说小车已经独孤求败了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "## 改进Q-Learning驾驶代理程序\n",
    "创建一个优化Q-Learning的驾驶代理程序的第三步，是执行优化！现在Q-Learning算法已经实现并且驾驶代理程序已经成功学习了，需要调整设定、调节参数让驾驶代理程序学习**安全性**和**效率**。通常这一步需要很多试验和错误，因为某些设定必定会造成更糟糕的学习。要记住的一件事是学习的行为本身和需要的时间：理论上，我们可以允许代理程序用非常非常长的时间来学习；然而，Q-Learning另一个目的是*将没有习得行为的试验变为有习得行为的行动*  (transition from experimenting with unlearned behavior to acting on learned behavior)。例如，训练中总让代理程序执行随机动作（如果 $\\varepsilon = 1$ 并且永不衰减）当然可以使它*学习*，但是不会让它*行动*。当改进你的Q-Learning实现时，要考虑做一个特定的调整的意义，以及它是否逻辑上是否合理。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 改进Q-Learning的模拟结果\n",
    "要从最初的Q-learning程序获得结果，你需要调整下面的标志和设置：\n",
    "- `'enforce_deadline'` - 将此标志设定为`True`来强制驾驶代理程序捕获它是否在合理时间内到达目的地。\n",
    "- `'update_delay'` - 将此标志设定为较小数值（比如`0.01`）来减少每次试验中每步之间的时间。\n",
    "- `'log_metrics'` - 将此标志设定为`True`将模拟结果记录为在`/logs/`目录下的`.csv`文件，Q-table存为`.txt`文件。\n",
    "- `'learning'` - 将此标志设定为`'True'`来告诉驾驶代理使用你的Q-Learning实现。\n",
    "- `'optimized'` - 将此标志设定为`'True'`来告诉驾驶代理你在执行一个优化版本的Q-Learning实现。\n",
    "\n",
    "优化Q-Learning代理程序可以调整的额外的标志：\n",
    "- `'n_test'` - 将此标志设定为某个正数（之前是10）来执行那么多次测试试验。\n",
    "- `'alpha'` - 将此标志设定为0 - 1之间的实数来调整Q-Learning算法的学习率。\n",
    "- `'epsilon'` - 将此标志设定为0 - 1之间的实数来调整Q-Learning算法的起始探索因子。\n",
    "- `'tolerance'` - 将此标志设定为某个较小的大于0的值（默认是0.05）来设定测试的epsilon阈值。\n",
    "\n",
    "此外，使用一个你选择的 $\\varepsilon$ (探索因子)衰减函数。注意无论你用哪个函数，**一定要以合理的速率衰减**到`'tolerance'`。Q-Learning代理程序到此才可以开始测试。某个衰减函数的例子($t$是试验的数目)：\n",
    "\n",
    "$$ \\varepsilon = a^t, \\textrm{for } 0 < a < 1 \\hspace{50px}\\epsilon = \\frac{1}{t^2}\\hspace{50px}\\varepsilon = e^{-at}, \\textrm{for } 0 < a < 1 \\hspace{50px} \\varepsilon = \\cos(at), \\textrm{for } 0 < a < 1$$\n",
    "\n",
    "如果你想的话，你也可以使用$\\alpha$ （学习率） 的衰减函数，当然这通常比较少见。如果你这么做了，确保它满足不等式$0 \\leq \\alpha \\leq 1$。\n",
    "如果你在实施时遇到困难，尝试把`'verbose'`标志设为`True`来调试。调试时，在这里设定的标志会返回到它们的默认设定。重要的是你要理解每个标志做什么并且解释它们怎么影响模拟！\n",
    "\n",
    "当你成功完成初始的Q-Learning模拟程序后，运行下面代码单元格来使结果可视化，请注意为了达到项目要求你需要在安全性和可靠性上获得至少都为A的评分。注意当相同的模拟运行时，log文件会被覆写，所以要留意载入的log文件！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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t9ucDudU4fjHaB2myUiofuBIdnve41ea/cK7+/rdVfhr9MFpbqnwO+mGcIlbUonL6jgAO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tz+NUVw7Nj03zIPLPuLI4+EnXeGUaP6eiRmZkPCXqQAKndh9nwxcDKQl2WajgMs62O1ZrDy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\nMzMzM2uQ/w9PDsOdRL+YSQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9d09970>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the 'sim_improved-learning' file from the improved Q-Learning simulation\n",
    "vs.plot_trials('sim_improved-learning.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题7\n",
    "利用上面的从你改进的Q-Learning模拟中得到的可视化结果，像在**问题6**那样，给出关于改进的驾驶代理程序的最终分析和观察。你需要回答的问题：\n",
    "- *使用了什么epsilon（探索因子）的衰减函数？*\n",
    "- *在测试之前驾驶代理大约需要做多少训练试验？*\n",
    "- *你用了什么epsilon-tolerance和alpha（学习率）值？为什么？*\n",
    "- *与之前的默认Q-Learning学习器相比，这个Q-Learning学习器有多少改进？ *\n",
    "- *你会说Q-Learning学习器的结果表明了你的驾驶代理程序成功地学习了一个合适的策略吗？*\n",
    "- *你对*智能出租车*的安全性和可靠性评分满意吗？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "### 问：使用了什么epsilon（探索因子）的衰减函数？\n",
    "\n",
    "答：使用的衰减函数是 $\\varepsilon = 0.995^{Trial ~ Count}$。\n",
    "\n",
    "\n",
    "### 问：在测试之前驾驶代理大约需要做多少训练试验？\n",
    "\n",
    "答：600轮 Training Trials.\n",
    "\n",
    "\n",
    "### 问：你用了什么epsilon-tolerance和alpha（学习率）值？为什么？\n",
    "\n",
    "答：训练部分让epsilon从1下降至0.05。alpha选为0.5。\n",
    "\n",
    "- **epsilon下降的速率将决定训练轮数的多少以及探索强度的减弱速度**。\n",
    "    - 如果epsilon很快衰减到tolerance，那么训练轮数将只有几十轮，连Q-Table的所有状态都来不及训练齐，小车的驾驶水平将会比较低。\n",
    "    - 如果epsilon初始值就很小，那么就意味着探索的强度将会一直很弱（即不随机驾驶、不试错），并且越来越弱，这对于刚开始训练还仿佛是一个婴儿的小车来说是不利的，此时的Q-Table收集的状态还很少，且绝大多数状态的操作值都是0，如果在这种状态就让小车经常从Q值表里取最佳方案，取出来的其实没有任何价值，因此小车的驾驶水平将会始终很低。\n",
    "\n",
    "为了确保小车学到尽可能多的东西，应该让epsilon从1开始缓慢下降。用上面列出的任何一个衰减函数其实都差不多，核心思想是只要确保Training Trials次数足够多，Q-Table足够丰满就行。\n",
    "\n",
    "    \n",
    "- **alpha决定了更新同一状态Q值时，对新奖励的偏好程度，值越接近1越看重新数据**。（由以下代码分析可得）\n",
    "    - 如果alpha = 0.5，就说明学习策略对新reward和表中存的旧reward一视同仁。随着更新次数趋近于无穷，最早的非零reward对Q值的影响趋近于0，离更新越近的reward对Q值影响越大，最新的reward对Q值的影响占50%。\n",
    "    - 如果alpha = 0.1，就说明学习策略对旧reward更为看重。不过随着更新次数趋近于无穷，最早的非零reward的影响力也将趋近于0，而最新的reward对Q值的影响占10%。\n",
    "    - 如果alpha = 0.9，就说明学习策略对新reward更为看重。最新的reward对Q值的影响始终占90%。\n",
    "    - 特殊的，如果alpha = 0，就相当于完全停止学习，停止接受新的数据，Q-Table中的任何值都会保持原样。我们仅会在测试模型性能时才需要把alpha设为0.\n",
    "\n",
    "```python\n",
    "def learn(self, state, action, reward):\n",
    "    prev_Q = self.Q[state][action]\n",
    "    self.Q[state][action] = prev_Q * (1 - self.alpha) + reward * self.alpha\n",
    "```\n",
    "\n",
    "尝试了不同的alpha值，实验结果显示，只要训练轮数够多，alpha大还是小其实对最终的测试结果影响并不大，都能得双A+。这背后的原因在于environment.py 中制定的奖励机制。由于奖励值在每个状态下只是一个在很小范围内均匀分布的值，因此不管你更新同一个状态多少次，都不会比之前遇到过的奖励值差太多，因此偏好程度就没有那么大的影响力。\n",
    "\n",
    "例如从log中可以看到，对于状态 (light='red', oncoming=None, left='forward', right=None, waypoint='right') 来说，这个状态描述的就是一个红灯要右转且左侧有来车的情形，此时执行forward操作的平均奖励是-40.26。其实无论遇到多少次这种状态，对应的奖励都应该是-40左右，因此是否偏好新数据并不是特别重要，只要不是0就行。可以说，alpha的影响力没有epsilon那么大。\n",
    "\n",
    "\n",
    "### 问：与之前的默认Q-Learning学习器相比，这个Q-Learning学习器有多少改进？你会说Q-Learning学习器的结果表明了你的驾驶代理程序成功地学习了一个合适的策略吗？你对智能出租车的安全性和可靠性评分满意吗？\n",
    "\n",
    "答：与之前默认的agent相比，目前的agent驾驶水平达到了新高度。\n",
    "    \n",
    "    - 训练次数从原有的20次提升至600次。\n",
    "    - 随着训练次数的提高，各项bad action的频率逐渐降低至0，\n",
    "    - 平均reward则逐渐上升至+2\n",
    "    - 可靠性也达到了90%-100%附近。\n",
    "    - 小车的整体评分可以在多次执行下维持在双A+或者安全性A+/可靠性A的状态（即偶尔会有1次抵达不了目的地）。\n",
    "\n",
    "我觉得挺满意的。我通过在learn()函数中加入对Q-Table学习情况的状态跟踪，可以看到训练时Q-Table的填满过程，以及训练终止时最终的学习状态。\n",
    "\n",
    "```python\n",
    "# 显示当前学习进度，包括<状态>的覆盖程度以及<状态-动作>的覆盖程度。\n",
    "if prev_Q == 0 and reward != 0:\n",
    "    self.state_action_count += 1\n",
    "print 'Trial Count =', self.trial_count\n",
    "print 'Q-Table Size = {} / {}'.format(len(self.Q), self.overall_states)\n",
    "print 'Q-Table Non-zero Item Count = {} / {}'.format(self.state_action_count, self.overall_state_action)\n",
    "```\n",
    "输出结果\n",
    "- Trial Count = 598\n",
    "- Q-Table Size = 370 / 384\n",
    "- Q-Table Non-zero Item Count = 1014 / 1536\n",
    "\n",
    "**可以看到，经过600轮的训练，Q值表能够达到 370 out of 384 个状态（覆盖率96%），以及 1014 out of 1536 个 状态-动作组合（覆盖率66%）**。且在多次尝试下能保证性能稳定。\n",
    "\n",
    "这说明小车已经学到了整个世界的66%左右。这个Q值表就是它测试时的行为准则和葵花宝典。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 定义一个最优策略\n",
    "\n",
    "有时，对于重要的问题*“我要让我的代理程序学习什么？”*的答案，只是理论性的，无法具体描述。然而这里，你可以具体定义代理程序要学什么，就是美国通行权交通法案。这些法律是已知信息，你可以基于这些法律，为*智能出租车*进一步定义每一个状态所做的最优动作。在那种情况下，我们称这一系列最优状态-动作配对为**最优策略**。因此，不像那些理论性的回答，不仅通过收到的奖励（惩罚），而且纯观察，代理程序是否在“错误”地行动能很清晰地得知。如果代理程序闯了红灯，我们既看见它获得了一个负面奖励，也知道这是一个错误的行为。这可以用来帮你验证驾驶代理程序习得的**策略**是否正确，或只是个**次优策略**。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 问题 8\n",
    "给出几个关于最优策略是什么样子的例子（用你已定义的状态）。之后，查看`'sim_improved-learning.txt'`文本文件，看你的改进的Q-Learning算法的结果。_每个从模拟中纪录的状态，对于给定的状态，**策略**（得分最高的动作）是否正确？是否对于有些状态，有策略不同于预期的最优策略？_给出一个状态和记录的状态-动作的奖励，解释为什么这是个正确的策略。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：** \n",
    "\n",
    "### 宏观上，什么是智能车的最优策略？\n",
    "\n",
    "**最优策略，就是给定交通情况和车流情况，在不违反交规的前提下，执行能够让梯度（奖励）最大的那个Action**。\n",
    "\n",
    "- 最优策略的目标不是不违反交规，而是尽快抵达目的地。\n",
    "\n",
    "\n",
    "- 导航只能提供不考虑交通情况的最优路线，而最优策略则是在导航的基础上，结合当前所处的交通状态，判断是否应该听导航的。而这个判断依据，就是之前探索的时候收集到的最优解。\n",
    "    \n",
    "对Q-Learning来说，最优策略的实体就是Q-Table，学习最优策略的过程就是探索的过程（Exploration），用最优策略驾驶就是利用的过程（Exploitation）。其实这里面也有动态规划的备忘（Memoization）思想的影子。\n",
    "\n",
    "训练阶段 | 测试阶段\n",
    "---     | ---\n",
    "Exploration | Exploitation\n",
    "随机驾驶试错  | 查Q-Table驾驶\n",
    "$\\mathbf{Random ~ Walk}$ | $\\mathbf{Drive ~ by ~ the ~ Book}$\n",
    "epsilon大于0  | epsilon等于0\n",
    "alpha大于0  | alpha等于0\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "- **推荐策略与最优策略示例1：**\n",
    "    - 状态：导航提示要直行，但现在遇到了红灯，且左侧即将有直行车辆通过。\n",
    "    - 最优策略：等灯。\n",
    "\n",
    "```python\n",
    "(light='red', oncoming=None, left='forward', right=None, waypoint='forward')\n",
    " -- forward : -39.67\n",
    " -- None : 1.98\n",
    " -- right : -17.49\n",
    " -- left : -37.82\n",
    " ```\n",
    " 上面是Q-Table中的相应状态的Q值数据，可以看到唯一是正值的操作就是None，也就是原地等灯。这与实际最优策略相匹配。另外对于其他几种操作的奖励也很有道理，在这种情况下左转和直行的惩罚都相当严重（-39和-37），这是因为这么做会与左侧直行车辆相撞，造成重大交通事故；右转的惩罚也不小（-17），因为这么做会与左侧车道的车辆造成交通事故。\n",
    " \n",
    " \n",
    "- **推荐策略最优策略实例2：**\n",
    "    - 状态：导航提示要左转，现在是绿灯，但是对向车道有即将有直行车辆通过。\n",
    "    - 最优策略：进入路口，但是先不左转，等对向车通过后再左转。\n",
    "\n",
    "```python\n",
    "(light='green', oncoming='forward', left=None, right=None, waypoint='left')\n",
    " -- forward : 0.33\n",
    " -- None : -4.62\n",
    " -- right : 0.69\n",
    " -- left : -19.93\n",
    " ```\n",
    " \n",
    " 可以看到Q值表相应的状态的left操作奖励是-19，而right操作却具有最高的奖励值0.69。这与最优策略显然不同。不过原因在于这个世界里没有左转待转这个行为，因为每辆车只要进入路口，都只能呆1个时间slot，没有等待对向车通过的这个时间粒度。所以为了避免绿灯左转遇到交通事故，右转或者直行都是不错的选项。这一点在后面硬编码的实验中也得到了印证。\n",
    " \n",
    "\n",
    "- **Q值表提供的策略是次最优策略的情况**：我只在训练次数不够的时候遇到过。造成这种情况的原因通常都是因为原本真正的最佳策略还没有尝试过，因此依然是初始值，而刚好此时已经有一个次最优操作已经尝试过，有大于0的值，因此导致Q值表推荐的是次最优策略。\n",
    "\n",
    "> 例如：绿灯需要直行，由于所有其他车都守规矩，显然应该直接直行。但是下面Q-Table中推荐的最优策略却是right。这是因为forward目前还是0.00，等到训练的次数多了，随机到了选forward作为action后，就知道其Q值应该是2左右，大于right的0.60。所以Q值表推荐次最优策略的根本原因就是随机试错的还不够多，遇到这种情况，只要增加训练次数就OK了。\n",
    "\n",
    "```python\n",
    "(light='green', oncoming='None', left='left', right=None, waypoint='forward')\n",
    " -- forward : 0.00\n",
    " -- None : -5.12\n",
    " -- right : 0.60\n",
    " -- left : 1.04\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 尝试让随机探索因子保持在1进行训练\n",
    "\n",
    "由于训练的核心思想是**收集尽可能多的状态-操作组合**。因此，为了让训练更高效，可以让epsilon在训练时维持在1不下降。看看效果如何。\n",
    "\n",
    "```python\n",
    "def decay_step(total_trials):\n",
    "    if self.trial_count > total_trials:\n",
    "        self.epsilon = 0.0\n",
    "```\n",
    "\n",
    "- 经过三次对比实验结果显示，同样进行600轮训练：\n",
    "    - **epsilon恒为1**：可以收集到约370个状态，约1000个状态-行动组合，学习覆盖率达到66%\n",
    "    - **epsilon按指数函数下降**：可以收集到约372个状态，约1260个状态-行动组合，学习覆盖率达到82%\n",
    "\n",
    "因此可以得出结论，让epsilon不下降进行训练可以在相同训练轮数达到更高覆盖率，或者说相同覆盖率可以用更少的训练轮数达到。这么做除了下面的图表没有那么好看了以外，还是挺实用的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NBMvIe++9x/nz50lJSaFZs2aVLY5Go3HB39+f6Oho/Pz+vJ87Pz8/wsPD2b9/\nP2D4d9WrV6+SpdJoNBqNRuOOP2+P4xLB7oeh0WguPf744w+UUvj4+BAeHo6vr29li1RqCgoKrG0R\nqURJNBqNRqPRFIVWsDQazWVLfHy8pZg0aNCgwutTSpGcnIyvry8hISHlWnZgYCCNGjVCKYW/vz8F\nBQXk5eWRn59PlSpV/tQzdBcbEfEF6uLQBiqljleeRBqNRqO5nNAtsgcyMzM5evQoKSkp+Pv706lT\nJ495t23bRnJyMtnZ2fTq1avIkMUajebi4TjrczH8lc6fP8+JEyeoV69euStYAQEB1KlTh7S0NNLT\n053CnV9xxRVFLmB8qZGfn19ps4ki8hgwGTgH2F8QBehFDDUajUZTLmgFywO//PIL1157LQBXX301\nmzdv9pj33nvv5cCBA4ARCatVq1YXRUaNRuMZpRRNmjShoKCA/Px8MjMzyc3NJT8/n7CwMK/LKIk5\nXnp6urWdkpJCtWrVSiy3O5KSkjh06JDH9Ly8vHKp52Jw9OhR4uPjqVevXplD5peS8UBLpVR8ZVSu\n0Wg0mssfHYLKA44do5SUFKe048ePk5CQwIkTJ+jUqZOlXAHk5ORcNBkvZ7Zt28YNN9xAVFQU999/\nf2WLo/kTIiKEhYVRu3ZtwsLCiImJ4dChQxw/7p0l2PHjx/Hx8WHQoEHWsby8PGrXrs2tt94KwPLl\ny5k+fbqVbp8xO3v2bJmUnvvvv593333X2s/Ozmb9+vU8/vjjADzwwANWWmBgYKHZuWPHjtGuXbsi\n6zh27Biffvqptb99+3ar/IoiNzeX+HhDrzl79myF1lUEJ4Dkyqpco9FoNJc/egbLAzVq1KBVq1aE\nhIQUig7Ypk0bp5FqO/379ycoKOhiiXhZs23bNtasWQMYi69qNGXBz88PEUEpRX5+frEmanl5eZw/\nfx6bzcaePXtIT0+natWqrF69mvDwcCvfgAEDGDBggLVfo0YN/P39UUoRGBjotXx5eXlOPlTDhg3j\nlVdeYfTo0YChuH333XfcdNNNAHz44YcA2Gw2QkNDCQ0N9bouO3YFa/jw4YCxPlhFrxGWm5tboeV7\nyRFgvYisALLtB5VSr1eeSBqNRqO5nNAzWB6IiIggJiaGrVu3snDhQqc0d8rVddddx8qVK7niiisu\nloiXNY4j664LxWo0JUVEqFatGtWrV6d27doUt8C6oyLQo0cPVq1aBcDChQsZNmyYlTZ37lzGjRsH\nwKhRo5gdd5SmAAAgAElEQVQ6dSpDhw6ld+/erFy5EjDMDJ9++mnatWtH+/btWbx4MQDr16+nd+/e\nDB8+3Fqry07fvn3Zt28fZ86cAQz/qx07djBo0CAaNWpEr169AMjIyGDixIm0b9/eqWxHjh07Ro8e\nPejUqROdOnXip59+AmDixIls3LiR6Oho3njjDdavX2/NzCUkJHD77bcTFRXF1Vdfze7duwGYMmUK\nDzzwAL169aJp06a89dZbXtz9C1SpUoXGjRtTv379yjIPBDgOrAb8gRCHP41Go9FoygU9g+WBefPm\nMW3aNAICArj33nt59tlnAWMk2dfXl/z8fCvv2rVrsdlslSXqZYnjgrAzZ86sREk0lwxrehU+1uhu\naPEo5GXA+psLpzcdZfxlxdH8j4cuHD8IXL/eY1W+vr7Ur18fEWHo0KG8++673HrrrezevZsHHniA\njRs3uj3vzJkzbNq0iX379jFgwAAGDRrE0qVL2bVrF7/++itxcXFceeWVXHfddQBs3bqV3377jSZN\nmhSqf9CgQXz22WeMHz+e7777jt69excy+1u3bh0HDhxwW7adOnXqsHr1agIDAzl48CDDhg1j+/bt\nTJ8+nZkzZ/LNN98AhsJnZ/LkyXTs2JEvv/yS77//nhEjRrBr1y4A9u3bx7p160hNTaVly5Y88sgj\nVKlSxeO9dKRKlSrUrl270PHiFN7yRCn1EoCIBJv7aRetco1Go9H8JdAKlgfi4uI4fPgwALGxsdZx\nHx8fUlJSmD59OtWqVaN58+b06dPnosq2du1aJk2axIABA3juuecuat0Xiy5dupCWlkZWVlaRERw1\nGk/kFxQQe+4c6eowVX0zKcmyvP7+/oSHhyMi3HDDDTz77LMsXLiQm292o8Q5cPvtt3PkyBGys7M5\nc+YMaWlpbNq0iWHDhuHr60vdunXp2bMn27Zto1q1alx11VWFlCs7w4YN46mnnmL8+PEsWrSI++67\nzym9UaNGHDp0iCFDhhQq23FGLDc3l3HjxrFr1y58fX2dfEY9sWnTJpYsWQJAnz59iI+Pt3xRb7nl\nFgICAqyohufOnSvxbFRKSgpxcXH4+/uTl5dHYmIiKSkptGjRosKjC4pIO2A+UNPcjwNGKKV+r9CK\nNRqNRvOXQStYHsjOtkzzCQgIcEoLCgpi6tSpF1ski+uvvx4wRr/vuusuWrZsWWmyFEdsbCw1a9Ys\ncadp0qRJTJo0qYKk0vzZKCgoILHjEmw2m3s/R7+gQjNSGampnNy/HxITyQ0Opl4RM1bFMWDAAJ56\n6inWr19vBWlwR0BAgBW1UCnlFCbeHUUt6dCtWzfOnDnDr7/+yk8//cSiRYuc0mvVqkVgYCCBgYGk\npaURHBzstpw33niDunXr8uuvv1JQUFAi3zB3OH4PfX19SxXMIyMjg4SEBKdjmZmZ/Pjjj4Vm4CqA\n94AJSql1ACLSC/gv0K2iK9ZoNBrNXwPtg+WBRx99lGXLlvHWW2/RuHFjkpM9B53auXMnX375JZ99\n9hl//PHHRZQS0tIuXeuWjz76iLp169K2bVuysrIqWxzNn5jTp09z9OhRYmJivA6UUF5rYOXl5TF0\n6FBefPFF2rdvX2TepKQkp6ij+fn59OjRg8WLF5Ofn09sbCw//PADV111VbH1ighDhgxh5MiR9O/f\n31KMsrKyUEpx9OhRIiIi+Pjjjzl8+LDHspOTk6lfvz4+Pj7Mnz/fMm8OCQnxGECmR48eLFiwADBM\nB2vVqlVuIeePHTvGyZMn3aZdpMGiqnblCkAptR7QixdqNBqNptzQM1geqFGjBi+//DI7duwAoHPn\nzlx55ZVu886cOdMKhPHJJ5/QuHHjCpVt9OjRnD17ltTUVJo3b16hdZUFeyjp/fv3Y7PZ2L59O507\nd75o9efn5xMXF8fZs2dp2bJlmUfuwfAVycnJKTSrqalYHGc7cnJyvPL5CQoKolmzZhQUFFClShWU\nUqSmppKZmUlGRgbh4eH4+/t7PD8rK4uCggLL92jw4MHF1uk4EOPj40PNmjW544472Lx5Mx06dEBE\nmDFjBvXq1WPfvn3Fljds2DBmzJjBk08+SUxMDD4+PgQFBaGUIjExkd69e7Nnzx4GDRqEzWazynYM\nDPPoo48yaNAgPv/8c3r37m3NmkVFReHr60uHDh0YNWoUHTt2tM6xB7OIiooiKCiIefPmFSurN5w9\ne5a4uDi3aWFhYdStW7dc6imGIyLyAoaZIMC9GJEFNRqNRqMpF6QinYtFpB/wJuALvK+Umu4h3yDg\nC+BKpdR2EbkBmI4R5SkHeFop9b2Z95/ACCBUKRXsUMYYYCyQD6QBDyul9hYlX5cuXdT27ds9pvfu\n3dty/F67di19+vRh4MCBpKenY7PZSExM5Mcff3Q658MPP9TrNpm4LtDasmVLrzqVdkaPHs26detI\nT09n4cKFJTId2rp1K127drX2d+7c6dSBLA3Z2dn06NGDmJgYFi5caEVc01QMMTExtG7dGoBdu3ZZ\npmhRUVFFKkaeUEoRExNDRkYGAA0aNKBBgwZu8544cYLs7GySkpKcjhcXxnz37t3WWnjt27cvN0X8\n0KFDliy1a9d28gsNCgrCz8+PFi1alEtdFcn+/fvdzpo1btyYuLg463nbEZEdSqlyjR0vIqHAS0B3\n89BGYIpSKrE86/GG4togjUaj0VQeZWmDKmwGS0R8gf8ANwAngW0istxV6RGREGA88LPD4TjgNqXU\nadMh+X+AffGZr4F/Y8QBc+RTpdQcs8wBwOtAv7JcQ8eOHSkoKKBatWqWecyGDRs8mgsOHjyYRo0a\nlaXKywqllJOSZe/YesOKFSt47733rH3Xjm5xjB071mn/3LlzJTrfHe+++y7btm0DjGAGZVlIVuM9\n9jWlcnJyyM3N9TpinSv2hYft76GnRcGVUsTFxTlFCgVjhqU46tatS15eHkqpcg3W4ChLUFAQwcHB\npKWlWcEtvJGtssjOzubUqVPYbDaP0QJLozCXFlORqtgVlTUajUbzl6YiTQSvAg4ppY4AiMgiYCDg\nOqs0DfgX8LT9gFLqF4f03wGbiAQopbKVUlvM8pwKUUqlOOxWBUo9Nffhhx8ybdo0kpKSGD16NNOn\nX5h4y8zMtLb//ve/88YbbxAQEMDx48edQotfDFJTUwkICLionZOSsn///lL5VTz+uHP/p6S+ZhXh\nm2aPKgkU6nxfSpRFCbkUERFatWoFFFbaS0pISAgRERH4+vp6XFohNzfX6fk2bdqU/Px8rxYRrygT\nt8jISEuuqlWropQiLS2N/Px8UlNTL2kF69ixY9aslV0ZLCgoICQkBH9/f3x9fRERTp8+XaFyiMgs\npdQTIvI1btoHpdQAN6dpNBqNRlNiKlLBCgdOOOyfBLo6ZhCRTkBDpdQKEXka9wwCdiqlsj2kO5Y3\nFpiAYVroNna6iDwMPAx4nG3KycmxfBj+9a9/0a1bNwYMMNretWvXWj4cN910E9deey1t2rS5qMrV\npk2bmDhxomWeGBsbS61atS5a/d4SHx9PZGQkP/74I7Vq1SqRjI5BMbZs2UKHDh1KVHeXLl0IDQ0l\nPT2dFStWlMuipm+++SavvfYax48fx8/v0nRffPrpp5k9ezYTJ05kypQplS1OuVMW5QqM2Z/iFCVf\nX1+aNWtGZmYmBQUF1KxZs1R12SMJlse7Yg+Lbsdx9vRSfRftOAYbsS/27MqZM2eIjY1l6NChrFq1\nyqPpZhmx+1zphfU0Go1GU6FUWsssIj4YZnyjisjTFmN260ZvylRK/Qf4j4gMB54HRrrJ8x5GmF66\ndOnidparRo0aTvuOpkTdu3d3Shs0aJA3opUbZ8+eZcSIERw9etQ6NnPmTKdZtkuBxx9/nNmzZ3Pf\nfffx8ccf8/bbbzN37lyOHz/OSy+9xOjRo4s8/+abbyYuLo7s7GxatWpV4gAV8+fPLz5TKfDz86Np\n06YVUjYYnfLSmpZNmzbNWpT5pZdeuqwUrNjYWM6ePUtBQQG1a9f2qgMeGxtLQkICPj4+hIWFea0o\n+fr6EhoaSmhoaKlkTUxM5OjRoxQUFBAaGkqzZs1KVU5RhIaGEhAQQG5ubpGh3i8FHJViHx8fMjIy\nOH78OP7+/lStWpW6deuSlJRERkYGu3fv5sCBAxWiYCmldpib0UqpN11kHA9sKPdKNRqNRvOXpCLD\ntJ8CGjrsR5jH7IQA7YD1InIMuBpYLiJdAEQkAliGsQDkYUrGIuD2UsrNzTff7ORsfSlFjNu3b5+T\ncgV4jMpVFk6cOMHChQtZtWoVv/9esvU3lVLMnj0bMBSdn376ifPnz7Nt2zbOnTvnVSj7//73vyxb\ntoyVK1e6HfG+HHnooYeoVq0a//73v0t87o4dO3jxxRedjhW3BtOfiYKCArKzs8nNzfXa9y0rK4vU\n1FSSk5M9+luVVAZvggL5+vpa976i/PRsNhthYWHWYFBSUpLX4esvNnXr1qVhw4ZEREQQEBBAdnY2\naWlpJCQkWCHtHb+xBw+6uteWO4UG3ihioE+j0Wg0mpJSkTNY24DmItIEQ7EaCgy3JyqlkgHLZkxE\n1gNPmVEEawArgIlKKecwfR4QkeZKKXvLfAuFg2B4hV05eOSRR6hRowaJiYmcOXOGxYsXM2TIELfn\nxMTEsGPHDrKzs2nbti1XX311aar2CtcIXC+++CJjxowp93o2b97M8OHG4xo0aBBffPGF1+eKCCJi\ndUavvfZaPvjgAyv9+PHj5SusSX5+Phs2bCAyMrJCZ5nAUEBzc3PLrZ5jx47x/vvvA/DYY48RGxvL\nSy+95PX5a9ascdr38/MjOzvbo5/Rn4msrCynACneKo7ltQ7W3r17yczMRClVZGTAgoICTp06Zflp\nltWc0RP5+fnWbJ5j8JYrrrii0Oz7pYDrTODZs2et7fT0dMBQwhITE1mzZk2hSILlhYgMw2iDmojI\ncoekECDB/VklKv9V4DaMyLeHgfuVUiWLzqPRaDSay4IKU7CUUnkiMg4jAqAv8KFS6ncRmQpsV0ot\nL+L0ccAVwIsiYh+Wv1EpdV5EZmA0kkEichIj/PsUYJyIXA/kAom4H6Usltdff53nn3++0PGgoCDu\nvvtut52mVatW8eSTTwJG4IuKVLAiIiJ4+OGHSU1NpWPHjjz9tCfXtQu89dZb/Pzzz0yePNnrUM6O\nUftK02lzDMkeEBBA//792bhxI40aNaoo/wpee+01/vGPf1ClShWOHTtGgwYNWLduHQcPHiQtLY0B\nAwZwxRVXlKrs33//nVOnTnH48GHWrFnD0qVLAfjuu++44YYbyiy7q3/a1KlTefTRR70OmnD//fcT\nGBiIr68vrVu3pm/fvmWWqTxZu3YtP/74Iw899BD169cv0bmxsbHEx8cDUKdOHcLDw4s5w5g5ysjI\nwN/fn4iICMuMrqCggBMnTpCfn09BQUGh9yE3N5d9+/bh6+uLv78/zZs355ZbbrHMLXNycoiIiKBr\n16588803TucqpSyFZ+/evWzbts2ayS0pTZs2ZdWqVbRs2ZLc3FxiYmJ49dVXqVevHoMGDWLWrFk8\n9dRTTuc4BuaYO3cu27dvL3I2dP369fj7+9OtWzcA5syZQ1BQECNGjCiVzEWhlKKgoIAjR444zerZ\nzSerVq1KUFBQRa+T9xNwBmNg7zWH46nA7nIofzXwrNn2/Qt4FvhHOZSr0Wg0mj8ZFeqDpZRaCax0\nOfaih7y9HLZfBl72kO8Z4Bk3x8eXRVY7rp0WOxkZGbzwwgt888032Gw2oqKiePfddwHnEMPZ2cXG\n4igTHTt2tOr1hq1btzJ+vHFrDh8+zJYtW7w6z7Fj79qR9IYlS5YwYcIEUlJSaN68OfXr1/eqY+0Y\nJe6LL75g/PjxpKenc9ddd1kzPJ6YOHEiYHSS33zzTfr06cODDz7IyZMnAWOtndIqWG+//TZvv/22\n07GIiAj27NlTLgpWcHAw48eP5803L7iGJCUlea1g1alTx3rOlxrnz5/nlltuITs7mz179vD555+X\n6HxHxcFms3nlo3bmzBlrdiQrK8vyvxIRpzWkXKMS5ufnW79he8S+Q4cOkZWVRWBgIKtXr/ao4DnO\nmEVFRZVIUcnLy3MKVjF06FAWLVrE5MmTyc/PJysri++++46PP/6YK6+80uk7FRwcjI+PT4l999av\nX09wcLClYFXETDgYSyScOHGi0PHo6OiLGqBDKfUH8IeI3AOcVkplAYiIDcOE/VgZy//OYXcLcFdZ\nytNoNBrNn5dLO/xUJeDn5+c0wtq/f3+GDh2KzWYjISGBX3/9FXA2OWrdujX33HMP/v7+XHPNNRdd\n5qKwdzIBS3Zv6NPnQhDG0oQ8b9OmDd9++22Jzjlw4AD9+vXDx8eHUaNGsWnTJit0s6e1x+ycP3/e\nyT9mxowZzJgxwylPWUK3u1vDq27dujz22GOlLtNOVlYWfn5+zJo1C6UUsbGxBAQEWGuvecv+/fs5\nfPgwYWFhNGnS5KIvG+CJ9evXW0pLSUxN7QQEBBAcHExeXp7X4ecdTWnj4uKsWVMRwdfX11La8vPz\nnTr5jsqcXWG5/fbbOX36NIMHD+att95i2LBhbNy4EbgwgGFXwGbOnEnTpk3ZvHkzzz//PN988w0J\nCQk88MADHDlyhKCgIN577z2ioqKYMmUKp0+f5tixY9SqVYtPP/3UqnvYsGEMGTLEUrB++eUX6tWr\nR8OGDfnhhx948cUXmTVrFllZWbz88suFynbk66+/5uWXXyYnJ4ewsDAWLFhAZmYmc+bMwdfXl08+\n+YTZs2ezdu1agoODeeqpp9i1axdjxowhIyODZs2a8eGHHxIaGkqvXr3o2rUr69atIykpiQ8++IAe\nPXoU+SzcmWeKSGVGP/wM6Oawnw98DlxZjnU8ACx2l+BNJFuNRqPR/LnRCpYLubm5KKVo2LAhcXFx\nrFq1is8//5yqVauyevVqK5+jb0vfvn0vOZMsO46R02w2G9u2baNNmzbFRh5zvD67/4m3PiVnzpzh\nxIkT1KxZk7p16xISEuLVea+88ooVwOOFF15wSivOh+bkyZP07duXjIwMkpKSiImJsdIefPBBgoOD\nrbWUSkJeXh5btmyhYcOGVvljxozBZrPRr1+/Mq83tXv3bnr37o2/vz9bt251msEqKYsXL2by5MkA\nPPfcc7z8sttJ4ItO9erVqVGjBqmpqdx6660lOjczM5OcnBxa7TT9crw05GrjeuC3C5sdHQ4XdHJe\nz8xms9GuXTvy8/Ot93348OH84x//oHXr1mzdupWRI0daClarVq3YuHEjfn5+rFmzhtdff50lS5Y4\n/e4mT55Mx44d+fLLL/n+++8ZMWIEu3btAozgJJs2bSrkK9e+fXt8fHz49ddfad++Pdu3b2fkyJFE\nRkZy/vx5bDYbNpuNOXPmeCzbTvfu3dmyZQsiwvvvv8+MGTN47bXXGDNmjKVQgWHGaWfEiBHMnj2b\nnj178uKLL/LSSy8xa9YswPhNbN26lZUrV/LSSy8V8v9zxTGoja+vb7FKRVnXOvMCP6WUFfVEKZUj\nIl4tJigia4B6bpKeU0p9ZeZ5DsgDFrgrw5tIthqNRqP5c6MVLDeICKdOXQh4uG/fPjp37szVV1/N\nL7/8QkZGRqWHRk5ISGD48OHEx8dTpUoVfvrpJ7f5mjZtyhdffMFdd91FYmIiV111FT/++KNlFuQJ\nPz8/JkyYQEBAADabrUSdnqVLlzJu3DjAMDt65513nNLtM02u5bl2DB3p169fkXV26tTJ6ujt3buX\niRMnkp2dTYsWLUrtBwOGqdaSJUvo2rUrP/30U5mCJbhj5MiRJCQY/vVjx45l+fKiXBOLxjWapKvZ\nWWVx0003kZiYiFKqxCa0qampxMbG0riCZHN9nj4+PoWWBIiKiuL48eN8/vnnXHPNNU6mgMnJyYwc\nOZKDBw8iIlYkP6UUSimysrLYtGkTS5YsAYyZ4fj4eCt63oABAzwGIhk2bBiLFi2ibdu21iyUfQ0v\nf39/2rRpw/bt23n22Wfdlm3n5MmTDBkyhDNnzpCTk0OTJk2KvCfJyckkJSXRs2dPwHhHBw8ebKXf\neeedAHTu3NlaL9ATrlEXo6Oj3X5HsrKyOHfuHG3aGKrxypUr6d+/f5Fll4FYERlg9wMWkYGAV6FY\nlVLXF5UuIqOAW4G+ypuQkxqNRqO5LKn83tclys0338zKlSupU6cO7dq1AyAkJITo6OhKlWvOnDmk\npKQQHBzM//73P+v4hg0buPLKKwstohoSElLI7+jMmTNe1fXaa68Vn8kN9oAE4DyD1q9fP3bu3Eli\nYiJ79uwpNKO0YcMGduzYQdOmTZk2bRo5OTnMnz+fKlWq8MQTT3D69Gmee+65Yutv06ZNmRQVR+wd\n459//pmdO3fSpUuXcinXzk033WQpll9//TWDBg1iwoQJXHvttSUqZ+rUqU6K5D//+U/uuOOOig4a\n4JaDBw/y7bffkpycTIsWLbj77rsBQ6Eu6Xpmdt+d7S22AYYC5OPjQ4cOHYpV+A8fPkxOTg4+Pj40\nbty4xHU70qtXL9566y3mzJnjpGC98MIL9O7dm2XLlnHs2DF69eplRRNMSUnht99+czI7dKWogZqh\nQ4dy44030rNnT6Kiorz2x3PlscceY8KECQwYMID169eXeX00exRFX1/fYsPQO+oY9uiinvI5Li5+\n8803O/nKlTNjgAUi8m9AgBNAmSN7iEg/DP/gnkqpwjbFGo1Go/nLoBUsD3zwwQcsWrSI66+//pJa\nB+vtt99mz549hY736tWLmJgY6tevT0hIiNPIvKMfFuCVWdvixYtJT0+nRo0a9O7du0SLrtaoUYMO\nHTqQlpZGw4YXlkJLTEy0Ok2JiYlOna0VK1Zw880307t3bwAroEWbNm149tlnyc3NLTQy78qaNWuY\nN28e6enp3HTTTcUuZuwNjuHm7X496enpHDlyhMzMTAIDAwv5vHhDQUEBkydP5rPPPmPgwIF89dVX\ngDH7N2rUqBKX505pruiAK+6Ii4tj3LhxfPed4e9/5513WgpWaXDtxBcUFFBQUODVLHJGRka53YOx\nY8fSqFEjbrnlFrZu3WodT05OtoJezJkzh7y8PHbt2uWkLHTt2pUFCxbwwgsvsH79emrVqkW1atVQ\nSpGRkUF6errba2nWrBk1a9bkH//4B48//rhbubp168YHH3zAU089xZYtW6yyHXGUcd68edbxkJAQ\nt7+p6tWrExoaysaNG+nRowfz58+3ZrNKiojQpEkTa0bPE+4CdPz4o1crdJQYc13Fq0Uk2NxPE5HS\naa/O/BsIAFab37YtSqmKiRyi0Wg0mksarWC5sGnTJoKCgqhatSrjx4/n999/54477iArK4vWrVvz\n+uuvFzonKSmJ5cuXExcXR0BAAGPHjq0w+RzXvZk7d65TZ9y+fszx48ctxeaxxx5zCtXcp08fBgwY\n4LH84cOHs2bNGqfR419++aVECtbjjz/utkPoWEZiYqJT2pEjR9yW5djxtCuK9pDPrp2yw4cP88kn\nnwCFw56XlsOHD1OjRg0n2Xfs2GF1OK+99lo2bdpU4nIXLlxo+Uh17dqVzp07s2PHDgCWLVvG0aNH\nufrqq7nqqqu8Ks9Via5Ro8ZFWWj4m2++Yfbs2QQFBdG/f386dOhgKVdwITjJkSNHOHr0KDk5OTRv\n3tzraI6BgYHW4sIhISEkJSXh5+dHVlaWRwUrPz+f8+fPOylXjgMOBQUFpKamUlBQgIh4tQxBmzZt\nLPM1x/fumWeeYeTIkbz++utER0dbCqDdhysgIIBnnnmGp59+mqioKIKCgiwlJz093QrB3q5dO7cz\nbH379uWNN96gWbNmbhWxxx9/nNGjR/PZZ58RHBzspEDZmTJlCoMHDyY8PJyrr77a8nO87bbbuOuu\nu/jqq68KmdHOmzfPCnLRtGlTPvroo2LvkTtEhLCwMMAwA0xKSqJatWqFTDP9/PyoU6cOffr0Yd++\nffTo0YPatWuXqs4S4AcMEpHhQGugTOtHKKVKF6JUo9FoNJcf9pHFv+Jf586dlSM5OTkKUIDy9fVV\nBQUFauPGjdaxa665Rrnj4MGDVp7IyEi3ecqLmTNnqgkTJqh77rlHZWdnqxEjRqi+ffta9QNq//79\nVv7BgwdbxxcuXKhyc3OLLP/GG290KiswMFClp6eXi+wnT55UZ86cUVlZWUop5VTPG2+84facpKQk\ndeLECZWQkKAmTZqkgoODlY+Pj5oxY4ZTvt27d6u77rrLKm/YsGFKKaUOHDigXn/9dTVt2jS1cOHC\nUsu+fPlytXTpUvXtt9+qDRs2WPV06tSpVOVNmDCh0DNbt26d0zFAjR8/3qvyEhIS1KFDh9Svv/6q\n4uLiSiWTJ7766it13333qX79+ql58+Y5pb355puWrGPHji10DXPnzlWHDx9Ww4cPt469/PLLXtW7\nd+9ep/3c3FyVl5dX7HmZmZlq27Zt1l9ycrLKz8+30rOzs620Xbt2OZ175swZtWvXLrVnzx517tw5\nr+S0k5iYaJU7e/ZsNWLEiCLzO8p4+PBhlZubq7KyslRaWpras2ePiomJUdu3b7fyZGdnFyojNjbW\nSj9y5EiJ5L1YFBQUqLy8PJWYmKi2b9+uDhw4oE6dOlUon+vzVkopjDUTy+2bD9gwFr1fjmEamAT0\nAnzKsx5v/1zbII1Go9FcOpSlDdIzWA44zgJUrVoVEXFyQN+8eTNXXHEFNpuNsWPHWuvG2Edowdn/\nqCKwL2hsZ968efz4449OEcDsjvbgvGDwsGHD6NevX5Ej9q4mVVlZWUyaNIknnniCyMjIMsnuun7Q\n6NGjOXToEH5+fvTs2ZNVq1ZRu3ZtatSoQZUqVQgJCaFmzZpUr14dMGYO7KHWXWdsPvnkEysEeGho\nKA0aNOCLL75g9+7dTJs2DTACCgwdOrRUso8dO9byB1q9ejVt27bFZrOVKjIhwHXXXcf777+PzWZj\nwMjXRR8AACAASURBVIABtGjRghYtWjBkyBAWL74Q3fmDDz6worcVRWhoaIlmGe1hxb1h7969zJ8/\nH8DyR7STmZlpbdtsNurUqcODDz5IRkYGrVq1YuTIkVx33XVW1D0wFustDd4G7HCcubPZbIVM5hxN\nU43v5wXy8/PJzc21Zs1KQo0aNQgPD2f58uXMnj272FmfmjVrWgFOqlWrRnx8vNv1ovz9/cnNzXV7\n/f7+/lSvXh0RKeR/eamglGL37t2WL1pycnKZo2+WBhH5FOgBfAfMBr4HDiml1l90YTQajUZzWaMV\nLAfy8/O59tprSU9PtzorV1xxBUuWLMFms/Hqq6+ybt06wNnErXr16txzzz2EhYURFhaGUiULM5yV\nlcXDDz9MSkoK77zzjlcL8jrSvXt3a7tjx460bduW/Px8UlJSWLZsGcHBwVZ6WlpakQrW119/bfmu\n3HnnnezYsYM333yTO++8s8wKlitz5syxtpcvX87AgQOd0lu0aMHbb79N37592bhxo6UoAU4+LuC8\nTlV4eLgVoMMxJLSrUlYSHMvv0KEDv/32WxG5i2fgwIEkJyfTunVrvv32W9q1a8f3339P3759CQkJ\nsXzQ0tLSyM/PL/Eisu5IS0ujTZs2xMXF4efnV6xPmx3H9cwOHz7slDZkyBBOnz7NH3/8wfnz52nd\nujX//e9/nfI4Djo0aNCAZs2aleEqisfPz4/atWujlHLbkffx8bHM1Fzvq6NyVpqIkfXr12f06NFe\n+f81bdqUpk2bWvvu/OhCQkJo2bKlx29KtWrVSrxe2sXGx8eHpk2bEhcXh1IKf39/6tVzF+m8wmkD\nJAIxQIxSKl9EdKQ/jUaj0ZQ7WsFyICwsrJA/TfXq1a2wxN9++62lYDnObPn4+Fi+P6XhlVdesWYI\nQkNDS+3vAMbofGpqKtHR0Zw4cYKFCxfSvHlzDh48CMD3339PzZo1Pa5HFBISYq1b5RgB0HGmojjs\nsxUhISG0bt3aKUjI0aNHefXVV0lNTSU8PJzp06cDuI0YduDAAd5//3369u1r+Y0A3H333dZ5dtq3\nb8/AgQNJT0/H19fXUoBatWrFHXfcQdWqVWnZsqXX1wCQkpLCnXfeiY+PD/Hx8QQFBVG/fv1yDdF/\n4sQJS/F7/PHHefvtt3nooYf49NNPLaUuIyPD67XEiqJq1aqcPn3amknIzs72KoDLhg0brO2HH37Y\nKS0yMpKPPvrICgAya9asQjNpDRo0IDU1lfj4eLZu3VpoJrO88ff3p3Fjz4HdfX19adGihdu0+vXr\nU6dOHWN632HGKD4+ntjYWPLz86lVq1ahiH7Hjh2zwuTXrl27yPo94ePjg7+/vzXDFxAQYA30VPC6\nUOVKTk4OycnJ5Ofnk5eXR2ZmJj4+PthsNmvB56LYvXs3ERERTt+f8kApFS0irYBhwBoRiQNCRKSu\nUupcMadrNBqNRuM1WsEqAZMnT2bcuHFkZmaW6wjsihUrrO3Nmzd7fd4777zjtMZUeHg47777Lq+/\n/roVNGLw4MGsWLGCpKQkhg8fzsiRIxERsrOzizXTGTlyJL169cJms3nskLpjxIgR1vo4hw4dcpqx\nSE5OtmSOioqyFKXatWtz/fXXF1q01G7G5hjcw95hb968uZVn7dq1Vuf/22+/JTQ0lJycHPr168dD\nDz3kteyOZGZmOpleZmRk8PDDD5fKFCs1NZXvv/+e4OBgwsLCiI6OJi8vz2lWbfHixQwYMIDhw4fz\n008/YbPZCA4OLpFCl5GRQWpqKnv37mXs2LFERkayePFiQkJCEBFq1arFuXPn8Pf3JyEhwavZ0rCw\nMGsWyl2Y+tq1a1sKVmxsbCEFy3GBbm/Jy8sjOzub5ORkAgIC8Pf3x8fHh7y8PCuIREBAQLmvS+bn\n5+fWFC83N9cyT3U1cczLy3NagywzM5OCggJyc3OtGTFPa105UrduXWw2m7VeVWhoKBEREWW5HE78\nP3vnHd5U+f7h+yTpnrSF0kILZW9KGbKXgiDYHwrKkiEioKgooAgoQxEXoF8XLhAUEdmggoAMAUWk\nhbI3tKWle6dNmyZ5f3+kOea06YIWUXNfVy/o2Tk5Sd/P+zzP57lxQ77uunXrVolQLw+9Xq9oLmyh\nIimXOTk5tG3btjouCwAhxAVgPjBfkqT2mMXWMUmS4oQQZTcHtGPHjh07diqIXWBVAh8fnyqfVQWY\nM2cOP/30E0lJSUyYMMHmNnq9nscffxwhBG3atOHBBx/kt99+ky3b77//fjmVy7phrxCCw4cPs3jx\nYsWypKSkcgdvo0ePrvBruHDhAgUFBbi7uyuiUdYDut27d3P//ffLv1unqIWHhxMeHo7JZOLPP//k\n+++/Jz8/H19fX7y9vWU3uq1btxIcHFwiLcq61mzAgAE2GxOfO3eOl156iU6dOjFv3rxyX5OtAWHx\nFLmKEh0dzZAhQ+Tfe/fuTZcuXZgxYwZffPGFfC/WrFlDgwYNkCQJlUpF/fr1KyQiWrVqRUpKCsnJ\nyYrl58+fZ8qUKXz77beA2QHRy8tLrjGsCOPHjycjI4Pc3FxFuqmFwYMHk5aWRs2aNWXx+eGHH5KY\nmEhWVhZvvvlmpQb2ERERDBo0iNWrV8vvQd26dalduzYXLlyQ00MtdXB3AutUwuJ9rYoLLrVajV6v\nl6OoTk5OtG7dukLnMRqNslgtngZ7KxQUFMgi3mAwyH3BqrIBdUZGBpmZmXh4eODr61uqI2hFnre4\nuLgqu67yEEJEApGSJL2IuTbLjh07duzYqRLsAusu4OGHH+bhhx8mMTGRZ599ll9++YX//e9/igjT\nhAkTWLt2LWC2+K5bty5t2rSRB84mk4mMjAzy8vJ46KGHGDBgAL6+vqhUKl5++WXF+fr166cwwqgK\nLNcN5ohS165dycnJUQysi5sqREdHy4Oul19+mTfffBOVSkXnzp3p3LkzADExMbzxxhuAuWbl//7v\n//j9999LnD83N5e8vDwee+wxcnNz0el07Ny5UxH9GTRoEDdu3ODs2bOMHTu23JoyX19fdu/ezbZt\n2/j444/p1q2bbC9+9OhR8vLy0Ol0DBgwoFwRZIkiWDhw4AAHDhwA4IknnmDjxo1kZWUxdOhQHn30\nUdnsIDo6ukLpZsnJyaU2Zl27di1r1qwhPT0dtVqNk5NTpVLOlixZUub6//3vf/L/jxw5woYNG5g+\nfbq8bMaMGZUSWB999FEJoWhJZSxut36n8PLyomnTpqhUqhKRX5VKRY0aNcjNzUWlUhEYGFjudRqN\nRk6fPi0LyGbNmuHu7q4QPnl5eWi1WtRqNQ4ODjZFkcFgIDs7W25bUDx6aG3iIUkS6enp3Lx5k5Yt\nW1ZJf7+CggJ50iEtLQ1nZ2fFOT09PalVqxYmk6lCoq6yabxVQZFT1ME7fmI7duzYsfOvpWrza/7h\n3Lx5k59//plDhw5x5coVefnAgQPp0aMHHTt2LDF7beHkyZMsXbqUZ555hk2bNt3S+SdNmsTGjRtZ\nvnx5iWNYhJSFkJAQpk2bxsiRI7nvvvtQqVT4+PhQt25dNm7ciLe3N2fPnsXZ2Vl2ofPy8uKLL75g\n9+7dhISE2LyGOnXq4OrqSo0aNUoMcsvC4oYGMG/ePH777TdOnTqliDCUFf2zvt/WWARS06ZN+fbb\nbxFCyDP8Frp3706HDh1wcXHh/Pnz7N69m0OHDrF9+3Z5mxs3bhAdHY3RaCQ6OrpCfbKcnZ3p168f\nH330kRwJfPHFFwFzBKpv374MGjSoQvVptiI/FlasWMHly5c5e/YsrVq1UjjJVTQd0dr90dHRkVq1\najFgwACOHz8uv49vvfUWAQEBODo6yiYgt8uLL75I9+7d6devH7///js///yzQlyBWSjEx8ezdetW\nNmzYUG4D2UuXLil+V6lUsjh3cHDAwcGhTHGQl5dHQkICSUlJpRp5ZGRkyHVVZQk1SZJ47LHHcHR0\nxMPDAycnJ+rUqSPXMG7fvp3333+fhg0b0qZNG1q1aoWbmxsqlQonJyecnZ1tujUaDAZFhNSSguni\n4iKbbxgMBrZt24arq2uJz7+FwsJCrl27RnR0NPHx8SXWe3h48MQTTwB/pdmaTCaysrIYP3687LxZ\nWaKiotixY0eJZz8/P18hsOrXr4+3tzc+Pj4VMuNQqVQK8xs7duzYsWPnn4g9gmXFgQMH5LS4ESNG\n8N133wFw8OBB2XCgtAan+/fvZ+bMmYB58DR06NBKn/+HH36Q///1118rLMXr168v1zU1b96cpk2b\n4uTkJEe1pk2bxq5duwCYMmWKbCFvoX///vL6Dz/8kLNnzxISEsLDDz8s1zIBcvRHp9NVykrZksIH\n8NprrzF79uwS2zRr1owHHniAHTt2lFhXmsOfj48PzZs3Z+3atbJVtWVAPG3aNIKCgpgxYwabNm0i\nPz9fETk4fvw4I0eOBMwNpNVqNUajkf79+5cpeCqCi4uLnMKl0+nKrZNq3bo1V69eZcWKFfj7+/Pr\nr7+yefNmeX3NmjWpWbOmIpUTKPW4CQkJDB8+HI1Gw8aNG4mJiSE/P5/8/HyCg4NtRtSs64Qs1vcV\nZcSIEaSkpKDVatm3bx/Xrl1j4cKFiomAF154QTHg9vT0ZOrUqVy5coWoqCgWLFgAmOsCu3XrVuq5\ntm3bxtWrV9FoNISGhirS86yf1dLIzc2VxYafn5/NgX1MTIwscLy9veX7dfXqVbKzs+X0TDc3N86c\nOYNOp8PFxYU9e/YoTDosqa3F0Wg0ZaYFFp+oSUhIQKfTUadOHYKCgsjLyyMlJYXdu3cTGhrKDz/8\nwLhx40ocpyzLeTCnK65YsQIw1zdZIqmVtaAvTlRUFBEREQwcOJDQ0FDy8/Nl4evj44PBYKCwsPCW\n7Njr1KlDmzZtcHR0JCIi4rausziSJKmAYUKI9VV6YDt27NixY8cKu8CywtqK2zpy4OzsLK/z9vYm\nKCiIrVu30qZNG3kb64iQteMdmF2xTpw4gbu7Oy1atKB58+aK9cnJyWzdupXw8HBiYmIYMWIE9913\nn2KbgwcP4uHhUarFuqenJ15eXgqhY42169kPP/wgGw+0bNlSMWi1joQcO3aMHTt2kJ2dTe/evRk7\ndqzNY+fm5rJixQp69+4NUGo/Jo1GY3MQCLBz504aNmzIrFmzGDJkCFlZWWi1Wtq1a0dkZCQuLi6c\nOXNGFlfNmzdX9IeaPXu27JQ4efJk3NzcCAwM5OLFizRt2pT+/fvTtWtX4uLiePfdd21eQ2Xo1q0b\nOTk5laoBatCggZzuOGHCBI4cOYKLi4uij1rxyExAQABfffWV7GRp4dNPP5XdGl9++WU+//zzcs/v\n4OCAr68vGRkZaDQa0tPTK1xTeODAATkCkpOTw+zZs4mMjFRs4+rqSvfu3dHr9eh0OoYOHUpGRoai\n9gzK74NlEZvnz5+/pVqh4mlxtigthc9oNMo/Fh544AF++uknhg0bxnfffcfIkSPle79q1SoiIiL4\n6KOPGD9+PJ6enkRERJCYmMg777zDsGHDEELw0ksvsXPnTiRJ4pVXXmHYsGHExsayePFi/Pz8uHTp\nEuvXr+fixYuAuUVBcnIyv/zyCx9//DFTpkxR9C77+uuv5dTNBg0a8N5775GZmclDDz0k10AtX76c\npk2b0rNnTw4ePIgQgnfffZeIiAhCQkJwdHSUX2NkZCTTp09Hq9Xi5+fHqlWrCAgIoHfv3txzzz3s\n37+fzMxMPv/8c7p27cq8efPQ6XQcPnyY2bNnM3z4cMW9dXR0VBy/MgwePFiOEFa1e6IQwiRJ0jOA\nXWDZsWPHjp3q41Y7FP8bftq3b6/o2PzDDz+I/v37i27duom3335bXr5//37x66+/CkD+OXnypGLf\nq1eviqlTp4olS5aI3bt3K9a98cYb8n4vv/yyYl1OTo544IEH5PWhoaHiVvnmm28U12j5mTNnjkhM\nTJS3s17Xtm1bxTEKCwuFVqsVaWlp4pNPPpG3mzRpUqnnvXLlirxd165dxdixY4XJZLK57axZs0Sv\nXr1Eo0aNxNGjR4UQQkycOFHef8mSJYrrO378uLzvtWvXBCAcHR1FmzZtFMetU6eOvI/1/Vy+fHml\n7+OdYu3atcLBwUH4+vqKZ599VgghxIEDB8QLL7yguAerVq0qsW/Hjh3l9e+//36Fz/nZZ58JtVot\nAPH000+L/Pz8MrePi4sTixYtUlzP5cuXRdOmTeXf586dKx555BExc+ZM8c033yj2t36GADF06FDx\n1ltvVehaz507p1zQq1fJn48/Nq/LzZWXGbp3F/mdOwtd584i58MPzetTUhT76Tp3FlevXhXXr18X\ner1ePsWFCxfEsWPHxLFjx0RWVpZwc3MTJ0+eFEOHDhU6nU60bdtW7N+/XwwaNEgIIcRXX30lpk6d\nKoQQYty4cWLYsGHCaDSKs2fPioYNGwohhNi4caO47777hMFgEImJiSIoKEjcvHlT7N+/X7i6uort\n27fL57T85OTkiK+++kp06NBBHDt2TAwfPlxs3LhRCCHEmTNnROPGjUVKSooQQoi0tDQhhBCPPvqo\neO+994QQQhgMBpGZmSkKCgqEm5ubyMnJEevWrZOvIz4+Xnh5eYkNGzYIvV4vunTpIpKTk4UQQqxb\nt048/vjjRbe8l5g+fboQQog1a9aIjh07itOnT4tly5aJUaNGiUuXLonY2NgKvZ/lUeL9FkIAEaKK\nv/eBV4GZQBDgY/mp6vNU5Kf43yA7duzYsXP3cDt/g+wRLCusZ06tsURmGjRoIM8OF6+NadCgAR99\n9JHN4549e1b+/1tvvcWbb74p/x4fH69ImatMvylrdDodY8aMKbFckiRGjRqFv78/SUlJXLhwgcDA\nQG7evAkgp08dO3aMtLQ0goKCCAkJwcfHR5FGZqllKZ72c+7cOfn/U6ZMoX///pw+fZrjx4/Trl27\nEqlqb731FvPnz+fMmTO88sorfPjhh4rUteK1YQcOHKBdu3aAOU3SkiZYnDFjxnDjxg1SU1MVUSXr\nWfSUlBTS09MpKCigTp06isiRLU6fPs3EiRNxcHCgTZs2fPLJJ2VubzAYOH78OKGhoRWavc/KyqKw\nsJC0tDQ5ctirVy969epFQUGBfL7iBhlgNipJTk4mKyvLZhTqyJEjGI1GXF1dadGihWw/7u7uLkdn\nPvnkE/74448SkShrrly5wiuvvKI4bq1atRSR0vr168uRuX79+vHYY4/J67y9venQoQPZ2dmMGTNG\ncazqQq1W/5VWWEoqqLOTk6LJr4VGjRohhFCYMrRp04bo6GiWLl1Kx44dS7jkabVaEhMTKSwsJDw8\nHJVKRYsWLeSI3+HDhxk5ciRqtRp/f3969erFsWPH8PT0pFOnTvTo0QOTySQfV5Ik1Go1v//+O+PG\njaN169aMHDmSb775hqFDh7Jv3z4eeeQRuY7Q8v7v27ePr7/+Wr4H1p9fZ2dnDh8+zPDhw2Ujjr59\n+wJw8eJFzpw5Q79+/QBzFM/avt8SPW3cuDEJCQnk5+fLKYBZWVk2I5Kpqano9Xpu3rwp16I1atTo\nbunnZbFqnWq1TAAlHwg7duzYsWPnFrALrEpw/PhxuUYpODi4wvtZnOdsYd3fCcyW2LdCbGyszeU7\nduygZcuWAGzZsoWnnnpKsd6Skva///1PLqRfsWIFEyZMoH379ixbtgxPT0+aNGnCokWLeP3115k0\naRIffvghYDYksLgUxsTE8MUXX7Bz507mz5/PZ599VqIxLZgHgpaGzomJiWzevJns7GwSExNL9Bcz\nTyCYkSRJIa6+/PJLli5dilar5amnnpKbPa9evRofHx/0er2if9fs2bPlepQvvviCiRMnlnlPMzMz\n+fPPP8vcxppHH32ULVu20KtXL/bv368YTEZERHDp0iXZKW716tWsX/9XllLxOqEFCxYwe/Zs3N3d\nbdaLvfHGG7KoscyWSJKE0WgkJSWFrl2VLX3GjRvHqlWrSph7lFb7ZsHacOL+++9nzpw5HD16FFdX\nV4YOHUpmZqYixbS4k+HIkSPlOrjb5sAB2RzCaDSi0Wj+Sql0dYUiV0ab+PmVvb4I63ovax588EHe\nffddPv30U1lcZmdny86dcXFxZGVlKSYfhBDk5uai1+tLNdJwc3OT2xA4OzuTn59PUFAQjo6O/PDD\nD+zcuZMlS5YghCAtLa2EwUt5XL58GZPJRFRUFKmpqcTGxnLz5k1FHZkQgpYtW5bag886bdUizq1F\nv1qtxmQyYTKZEEKgVqtJTk6W06oLCgooLCy8W8QVQgjbDj//YkwmgST9sxpW27Fjp+q5nJRDPV83\nHDV2j7vqxi6wKoGXl1elzQHALJpee+01gBKW23Xq1GHevHlERUWhVqsZMmQIGRkZijqmb775hvnz\n5+Pn58fIkSN54YUXSpxDo9EwevRo9uzZQ3JyMi+99BLNmzdX9IOyPmbHjh3ZunWrHImzdq4LCgoC\nzM591rbJPXv2BMw22nPnzqV27drUq1dPrhvZvXu3onalf//+Nu+HtZjIzs5GkiTFvd28eTPHjx8n\nPz9fPqc1v/76K7t27eLTTz8lIyMDUA7sx40bZ9MQwHqgaF1rBua6oPnz56PVannrrbdwc3NTWNmX\nVqxvNBr5+eefOXnyJFu2bMHV1ZVff/2VlJQUatWqJW+3du1a3nvvPZvHiIuLk9+HzMxMDh06hJub\nG76+vhVqNBsTE0PDhg0VtYLFsbg09unTh0uXLsnCszyzg0ceeQQHBwfWr1+Pm5ub7Dqn1+vl/ycn\nJzNlyhTc3d3l612/fj2HDx8mPz+fxx57zOb7aIu1a9cye/ZsvLy8bNaVJScny9HXgIAAhVCoTp54\n4gm0Wi2NGjUiMjISIQTZ2dmK/muAYgLAZDJx/vx56tWrx/fff8/jjz9Oeno6Bw8e5N133+XChQvy\ntjqdTmGasnfvXtq0aSMb04D5ud6yZQt9+/bloYceYvr06fj6+sq1dPfeey/Lly/n+eefx2g0otVq\nFc95u3bt2LJlC5MnTyYhIYH9+/czatQomjZtSkpKCkeOHKFz584UFhZy6dIlHBwcKCgoIC8vDyEE\nDRo0kF+fm5ub/KxptVqOHz9e5v0rTbjaQqvVEhUVVW6t3q0iSZIrMB0IFkJMkiSpMdBUCPFjtZzw\nLqDv0gMUGgW/vdz3774UO3bs/E3EZ+ro995BJnQLYd6DLf7uy/nXYxdY1cCrr75KfHw8Pj4+PPPM\nM9SqVYvPP/8cNze3EulcDRs2ZOHChXzwwQdMmzaNLVu2AObmw5YIRXx8PNevX+f69etyumJxGjZs\nKEdwSiM4OJju3bvj4+NDt27dCAwMlNd17twZlUrF1atXZYFlTfGmpzt37qRPnz60bNmSo0ePcs89\n98ji6rHHHiM2NrbUPlMzZ86kRYsWLFmyRHZgCwgI4Pr16zg5OfHQQw/x0EMPlfo6Dh8+rEizhL9m\n1C9fvszgwYPJzc0lODhY0TOrdu3aNGnSBEdHxxJmITt27ODdd9+VDQ4++eQT2rdvz5EjRygsLCzR\nx+nEiRNcuHCBy5cvM3/+fHm5ZdAZGxurEFi20vwsREdHExYWBpgjRpZ70qFDB44dO1bqfhYsfZBK\nE1dgjhSePHmSGjVqMGfOHNzc3KhXr165Pa68vb0ZP34848eP5+bNm7KoMhgMbN26lby8PDQaDcuX\nLwdg0aJFLFy4UHYMBAgNDa2wwEpKSpKjsbZaIpTV8BfMosaSwgYlI4O3St26dVmwYAEqlYqMjAwk\nSSoRlSrN8KRPnz4kJCTQtm1bJEni7bffJiEhgStXrpCVlaWI9qhUKoQQfPfddyU+A0OHDmX58uWM\nHTuWuXPn0qtXL9RqNa1bt2bZsmXMnDmThQsXsmLFCtRqNcuXL1dEP/v06UNERAS9e/emWbNm9OrV\nCzCn0W7YsIGpU6eSlpaGSqVi6tSpdO7cGb1ez40bN+RIsiUC0r59e77++mtGjRrF+PHjbU6mWPqD\neXp6VspN8OLFi/ToUa19f78CIgFLmDce2AD8awVWdFrp3w127Nj5bxCTZs5YORNv2wzNThVzq8Vb\n/4af4gXGhw4dEhs3bhQ7d+5UmEJs27ZNdO7cWdSpU0cu+LbFvHnzxJQpUxRF/REREaVub81rr72m\n2M/62mbOnCkvr6hBwK1gbeQREBCgWJeXlycWLVokZsyYIe6//355u7CwMHH58mX59wYNGlToXD4+\nPiXMOCxF9mWh1+sV93jEiBEiJiZGZGdnCyHMZiOWdfXr16/waz948KDw9PSs8H5DhgyxaSgCCBcX\nF7Fz507F9l9++aUYMWKEcHJysrnP+fPnhRBCfPHFF4rlFv7880/h4+MjAgMDxUMPPSSEECIiIkK0\nbNlSsX1QUJDw9fUVLVq0EA8++KD47bffRGpqqkhMTLR53u3bt9t8fb///rsYNmyYmDJlili9erUQ\nQgiTySS8vLxEo0aNSpy3c+fOoqCgQNSsWbPEOZYuXSoyMjLEmjVrxMqVK8X69etLva/z5s2T9/v9\n999LrE9NTRWnTp0SZ8+eFTdv3iyx/vLlywqziNzcXJvnyczMFElJSSIxMVE2+rh586a4ePGiOHfu\nnMjKyir1Gq2v5dq1ayIqKkpcuXJFGI3GEtdy9uxZcf78eYWZiF6vL2FqERUVJXQ6XanmMGVx7tw5\nhTGHNXl5eeL48ePi2LFjIjIyUnE+axISEuR1Fy9eFDqdTsTFxYljx46J8+fPC51OJ4Qwm+AkJSWJ\n1NRUkZWVJa5fvy7vZzl+RESEOHbsmMjIyKj06xBCiFOnTlk/P9VhchFR9O8Jq2Unq/o8Ffm5UyYX\n9Wb9KOrN+vGOnMuOHTt3J1tPxIl6s34UT64+9ndfyj+G2/kbZI9gWbFs2TI5grRx40a5l1VeXh5/\n/PEHgNyLyhZfffWVItUOzPVG7du3L/fctWrVwt3dXY50WNdavPrqqzz55JOkp6crok5VjXV0VcGR\nGAAAIABJREFULCEhQbHOxcWFuXPnAmZzBEvqUt26ddFoNNx7773k5uZW+PpspQxlZWVRs2bNMvdr\n166dbBoSHh7OpEmTSE9P59tvv8XPz09Rw1VW1MjWcS0GI5999hl6vb5Mowpb0YqnnnqKJ554grCw\nsBK1Dk888QRPPPEEQgiee+459u3bpzAIsUQIrd+D8ePHI4TAaDSSm5srN3NOS0uTzSks96JLly5y\niqatNFbrdDRrSrvfFy9elKNVOTk5ZGdns2bNGgIDA3nppZcIDw9XmIQcO3YMjUYjN8wFeOeddzh7\n9iwajYaffvpJNr9o2rQpjzzyiM3zvvjii4wfP56srCybz4ivr2+p5iRCiBIpe3l5eTabNVsMQgC5\nf5NOp5PNXC5duiT3YiqNsq4FSq+9tJWWaTE7uZWURxcXF7mWLi8vTxG1c3Z2tggIRcTNOv0VzOnD\ncXFxgPn9dnR0lJ9JrVbL1atXadmyJRqNRhGZdXd3x8fHB1dXVzl9UAiBXq+/JYt9MEcdu3btipOT\nE/v377+lY5SDXpIkF8wCDkmSGgIFZe9ix44dO/9s4jLMY5warrfWQsNO5bALLCusC/6tG7xa18Fs\n3ryZrl27KlLPLNgadJ86dYqvv/4arVaLu7s7Dz74oM0+UYWFhUydOpUVK1bw5ptvKkw0PD09qyzV\nqSzq1q2rEIhGo5GnnnqK7OxscnNz2b59O5IkoVKpCAsLQ6fT0a9fP+rXr88vv/xSqXP169dPbpJs\n4eWXX5YH9aVhfR9efPFFunfvzieffMKcOXMAc3+p2bNnk5eXh6+vr03jDFu4u7szePBgtmzZQuvW\nrct1AQwLC5MbUQMsXrzYZnPl4kiSJBuEPProo1y8eBEXFxc5hapRo0b88MMPLFmyhFWrVrFmzRoG\nDBjAM888Ix/DZDLRpUsXxXELCwvLbJ5sNBpp1aoVGRkZBAUFsWHDBlJSUkrdx1oo+fn5ER8fz9Gj\nRwFziqa18yMguxMuXbqU1NRUcnJyePHFF+nUqROrV69WbFtWbY21qcf58+dL3c4WtoRLaUX91suv\nXbtGjRo1Sgi66jIEcHZ2lpvzWgvf8gxHSsPT0xOTyYSrq2uJ7wlJknBzcyMnJwdJkhBC4ODgQMOG\nDRWOoE5OTvj6+uLs7IynpyeSJOHp6SnXOOr1egoLC1Gr1QpnUJVKZfOcxfu5VYZ69erx22+/yceq\nBuYDPwNBkiR9C3QDxlfHie4G8gtLptLasWPnv0dchjlV2CRs9yO1U7XYBZYV3bt3x83NjdzcXMWg\nPDQ0lE8++YSnn34aoNRalzlz5qDVatm8eTP79u0DzIPhxYsXy0YQ8JeNdF5eHmvWrOHKlSssWrRI\nXh8eHq6YJa5qLl26xD333ENhYSGNGjUiKioKgLFjx7J3715CQkKYNGkSarWaNWvWyJGd3Nxc3N3d\nmTJlClOmTLmta1izZg3ffvstX3/9tWxIUZE6DR8fH7muwzIjb20EcOHCBU6dOkVERARgdr6riMAC\ns7Ngr169yhQqFmbOnMnMmTMBs2HGrFmzaNeuHUFBQUybNo17771X3jYqKoply5YxePBgHn30UXm5\ntYugNYMHD8bV1ZV7770Xg8GAVqulb9++ciNpiwOjhdzcXLkBbWm0bNmS06dPy78LIZg0aRI7d+5k\nwoQJsruihfDwcOrUqUNqaipt2rRh27ZtgLk9wcmTJ+Xtmzdvzpo1a/joo49YtGgROTk5zJkzR3Yr\ntI7EhoaGEhoaWm3PtiRJ+Pv7k5qaKluNl1YX5enpqYh2mUwmatasqTBLKWtwbzQaycrKIiMjg9q1\naysmZCpynRbLfOvWD8VbGlQUHx+fMhtGBwYGIkkSrq6uZGRk4O7uTm5urkLctWzZskSLBG9vb+Lj\n41Gr1RQUFHDy5EnAPBFjMBjIzs5GrVYTEBBwRyaAqgohxB5Jko4DnQEJmCaESC1nt38sGXl/TWgI\nIexOgnbs/Ee5mWnOSsjT2ydd7gR2gWXFq6++anO5u7s7LVq0kGeAS3MStAiFnj17sn79ejw8PGjd\nujUHDx5UbGcxUnBycrJZqP/OO++wdOlSnJ2dCQ4O5o8//rAZ9bpVJEmSB5darZZLly7JDmJjxoxR\nOAf6+vrKqUO7d+/mrbfeQqfTERoayjfffHNb1wBmxzRLaqR1753S+PHHknXoU6ZMYfv27YDZvnza\ntGnyOutIVGpqKtHR0RQUFFCzZk2FhXtqaioODg4888wzciRj69atzJ07FwcHB4YMGaIwbrDGycmJ\n+Ph4oqKiiIqKKmFL/sILL3DgwAG++eYbevXqhb+/f7mv03rAnp+fj4ODA56enor+U2AWpcVT4HJz\nc9m9ezeurq7UqFGDTp06kZWVhU6nk8Wmn5+fnHK4cuVK3nvvPcUguXHjxgr79cLCQpYtW0ZeXp7i\nWezUqRNhYWH88ccffPXVV4A5imgRWJ07d6ZWrVpkZ2ezY8eOCr3Ht4pGoyEoKMimSUtxatWqRWJi\nohxNMxgMuLq60r59ezl/urjgiY+PJy0tDYPBoEi38/HxqZTAssbDw4MmTZoo+m5VNdYGLZaUxuIR\nyIsXL+Ln54eDg4P8fDo4OBAaGgqYU6Mt+6jVanJzcykoKMBoNNoUzLm5uYoIZIMGDcoUgX8DvYDu\nmNMEHYAtf+/lVD030vPo8c5+Zg9sJi/TG004aSru6GjHjp1/D5bJFm1B2e7BdqqGahVYkiQNAP4H\nqIEvhRBvFVs/BXOzRyOgBSYJIc4VrWsDfAZ4AiagoxAiX5KkkcAczH8YbwKPCSFSJUn6HrAoA28g\nUwgRWlWvpVevXhgMBnJycsq1D27dujWtW7eWf58wYYJs025NcXHVqVMnBg4cyOuvvw6YB9aXLl0i\nMTGxSgWW9UDOYDCwf/9+OSI1ceJEvvjiC3n922+/jRCCyMhI5s2bJ9f8VCTKUxEmT57M5MmT0Wq1\nNsVmRRg4cCB//PEHGo2G9u3bM27cOOLi4tDr9YrB36ZNm+TX+eSTTypswIcNG8avv/4KmJsb9+rV\ni9TUVLlOqrw6Out+Zu7u7gqrfesozltvvcWSJUvKta0OCwsjPT0dNzc3WSR6eXmVqPEbOXIkhYWF\nsmCXJImYmBi5OSyYB9g5OTmEhoZy4sQJAFlcWSgt0mOhb9++7Nixg5SUFPR6PcnJyaSkpNChQwf5\nHBasa98sosuawsJCVq5ciYuLC2PGjFHMqFdkhj0tLY2kpCQMBgO+vr63bNWu0WgUAuvixYuysGre\nvHmJ6zCZTDY/+0lJSXh4eJQQSDqdjsLCQoQQuLi42Ew7dXBwqJTDXmU5deqUfE9btWoli8biKXwG\ng4HExEQ5RbCgoAC1Wo2TkxOOjo6oVCo0Go38GXVycsJkMqFSqXB3d5efQYPBgIuLS4mG6eIuSkmR\nJOkToBFgyfGdLEnSfUKIqWXs9o/jeKw5vfPj/VfkZTq90S6w7Ny15BcaSc4uINi3ZN2sndsnTWv+\n+5WntwusO0G1CSxJktTAx0A/IA44JknSdouAKmKtEOLTou3DgWXAAEmSNMAaYIwQ4qQkSb5AYdHy\n/wEtikTVO8AzwAIhxHCrcy8FqtyHUqVSVboP1tatW8nOziYgIKCEcYQ1c+bMYeLEiWRkZLBw4ULF\nuhYtWlCnTh18fHyIiIgotz6oPIKDg0lLS5MHd0uXLpXXFW9EO2rUKMDciNgiroASA6jbpTKC7b33\n3iM6OhoXFxeefPJJGjZsyD333COvnz59us39rO+bdX+gjIwMWVyBOaXPYDBUqA8WmC3bGzZsyG+/\n/YbJZCI8PJz27dvLaYrWEav333+fZcuWlfsaHRwcSojqQ4cO4eLiQsOGDYmPjwfMtujfffedHD0d\nP368bL9twSLwoqKiOH78OGFhYYo6wvfff7/cQb4kSQwcOJDt27fzf//3f4BZ2Fpqwx5//HH69++P\nl5cXdevWJSIiguXLl6PT6ejQoYPiPVm5cqUsdFNSUpgxY4a8rlGjRmRnZ+Pn58eGDRtsXou1JX1C\nQgKpqak0adKkXJFYnIYNG8q26NHR0QrxZCtdrzRRrNVqKSwsLCGwEhISZCEbEhIiR49MJhOSJN2R\nVC3r12R9Pj8/PyRJ4saNG7i6usrmHiqVivT0dPm7KjAwkMDAQIKDgwkODpZNVywNqOvXr4/RaOTM\nmTNlXkdlvrOEEOzatava+mBhjl61KnKIQpKk1cDpsnf552F5v7Pz/xpM5eqNeNvHrnbuQoQQPL8u\nip/PJrLgwRaM7/af6wde7fwVwfr3pghui4qndR0vGtSsmiDA7VCdEaxOwBUhxDUASZLWAf8HyAJL\nCJFttb0bRa5OQH/glBDiZNF2aUXHcMCcM+8mSVIa5ujWFatjIJn/qjwKVEtHxdLShyzs27ePRYsW\nERgYSPPmzVmwYIFcfL9lyxaeffZZOeXOwrhx4+SeV0ajkTFjxvDNN9/g5ubGjz/+SJ8+fYiPjyc9\nPf22xRWYB4rW6TotWrRg9OjRpKWl0apVK5v7WG/fpUsXJk+ezJ9//kmzZs3ueP3F8uXLuXz5MmCu\nV2rYsGGF9vP39ycsLAxHR0d5n4iICB588EHFds8//zxqtZqUlBR69OhBYWFhifSmq1evsnLlSlQq\nFRcuXChhzmFtWNC9e3d27Ngh/36rA2tL7y5Lmp3FIc+6JlCj0TBq1CiWLl3KmTNnmDNnDp999hlP\nPvkkRqORuLg46tWrx6FDh26p5sdaLO7cuZMvvviCvLw8hg8fTqdOnejYsSM1a9bEw8ODlStXAuZ7\nYRFYN2/eVAjMmTNn8txzz8kCLzExkby8PFJTU0u9T8WFTGFhYYmeVBXBEsWJjY2VBYYFy7klSWL0\n6NGsWbOGmjVr4uXlRVBQEC1btlQ0ji5+LyMiIvjoo49kAWp9fVevXiUnJweNRkP9+vXL/Py8//77\nvPzyyyQlJZU6uVNQUEBqaipCCJycnGRnSCEE586dY8eOHcycObPE/bRMAnh5eZGeno7JZCI+Pl7x\nPNky/tBoNFy6dInGjRvj4+NjUwi5u7vj6emJ0WhEpVLZdHIsi4EDB1Zq+0pyEQgGYop+DwJOVecJ\n/w4ycku+Lzr7zLWdu5SrKbn8fDYRgNPx2eVsbaey5Bca5dqrf2sEK7/QyLR1Ufi6ORL5ar+/+3Kq\nVWDVAazzmeKAe4pvJEnSVGA64MhfoqgJICRJ2gXUBNYJId4RQhRKkvQU5tnGXOAy5hRDa3oASUKI\ny7YuSpKkScAkQOHUZzAYeO+99/D39ycgIIB+/ZRvzpgxY/jll19IS0tj3759dO/evcSxV61axeOP\nPy7/XrNmTYWzWd++fWWjgV9++UW2qrYutg8KCqKgoIAePXqwevVqxQCnumoYKtLYd8qUKSQmJhIS\nEkJcXBzjx48HYO/evfTtWy1a1iY5OTk8+uijbNq0iQsXLlCvXr0K7/vAAw/wwAMPKJbVr1+fxETz\nl7pKpZIHwkajEXd391IF5549e1i8eLHNdZZ0MJ1Ox7lz5+jTpw8jR44sNU2sIrz77ru8+uqrODk5\nMX36dLm5sYeHhyIlz5LSdeLECRISEggKCqJ79+5MnjyZGzduyMexlbJqzQsvvEB0dDSOjo4sXrxY\nFqSBgYG0aNECf39/9u/fz6RJkwBzVPHGjRvcuHGDffv2sWrVKsAcibNEOz///HNyc3Pl6EeXLl1o\n3bo1er1e3s4yuHdwcChVAHp4eNC8eXOuXLkiRxlNJhOZmZly42MPD48KR7RsvSdXrlyhcePGuLm5\ncebMGXQ6HS4uLuzZs4c6derg5uaGn5+fnH5XXIh06NCBN998k8zMTNkG3oKlhkuv18uv0WAw2KzB\n+u677+jYsSObN29WfLdYU1BQIEecPDw8FNb7I0aMYPjw4Tb3s2Bdd5WQkCB/BlxcXJAkiby8PEwm\nEy4uLor6xMGDB9OyZUs5fdDyXWcx1LjVlhKSJOHo6FidESxf4LwkSX8W/d4ROCJJ0nYAIUR4dZ34\nTpKmLek8n/svnrm288/mfIJZVEkSZOmq7bP/nyWtaMJFrZLIvQM1WOZgBKhUd85U50qyeSyUZmNy\n6e/gbze5EEJ8DHwsSdIo4BVgHObr6o75D18esFeSpEjgIPAU0A64BnwIzAYWWR1yJH/l1ts63+fA\n5wABAQFi3bp1jBgxguTkZF566SXALIySk5MV+924cUMeiBcvELdw5MgRxe8WR7L77ruPMWPGKGaq\nBwwYQGxsLDVq1FAUyDs5OfH9999bXy85OTmkp6eX6l5YnRiNRh577DFiYsyTvZYZdQuVTcu6XY4d\nOyZH+yZOnFghQ4Oy8PPz4/Lly1y6dInevXvTv39/uWbGYDCUmjpXfPn8+fPx9vamUaNGDB48GIAz\nZ87INUp16tThxo0blY5e6fV6tFqtbCpQUFCgEO3Wx7M4xMFfhg9gjgaMGjWKt99+G6BC0YR9+/Zx\n6pR5Ut/afj4oKEhOFbU+t+X5AGjbti0tW7YEzG59ffr0Acz1dhZGjBihsLkH87Ok1+tJS0uT7cFt\nodFoUKlUNG7cGJVKJQ/wY2Nj5c9mvXr1Kvxs2jKosDYTeeCBB/jpp58YNmwYq1evpnfv3kRFReHr\n68v58+eZNm0a+fn5uLi48NVXX9G0aVMOHDjAkiVL+PHHH0lPT2fs2LFcu3YNV1dXXnzxRerVq8fn\nn3+O0Wjkxo0b+Pn5lWhbcPXqVbRaLZ988glvvPGGLLCMRiOzZs3i559/RqVSMWbMGPr06cPZs2d5\n//33MZlMODk5sXfvXiIjI+XrSEtLY+TIkaSkpNCpUydFXdSaNWv44IMPyMrKomXLlsyaNYsmTZrg\n5eXFiBEjOHz4MF5eXvz4449cvXqV7du38+uvv7Jo0SI2bdokm2FYuN2aq4EDB2Iymfjhhx9u6zil\nMK86Dnq3oDeYuP/9g1xP/SuKXsvDieScApvuYQajibgMHfX9bs2oxY6dquByUg4qCdoF1yAzr5Bd\nZxP57s9YVo7reEcH6f9WtkWZywqCfVxJyKraEg9bPPrZERrV8uDNh1uXv3EVcTExp/yN7iDVKbDi\nMadeWKhbtKw01gHLi/4fBxy0WOdKkrQDCAOyAYQQV4uWrwfk0X5RjdbDQPmdfTGnI23bto0RI0Yo\nTApsubxZp/WdOnWKIUOGlNimtIHro48+ytixYyksLFRYNFek7kiSpApvW1ks9RRluZdt3rxZMXju\n1KkT7dq1kyM0VWm+URH69OnDunXrSE1NlaMnt0ujRo3kprDFLdBLo/jsvC2HQevIUnx8PCNGjFCI\n5/KoVauWLNKtxUleXh7Z2dl4enri6uqKVqvFxcWFgoICOY2wOAEBAYSFhZGXl6d4vj/66CN27drF\nqVOn2LhxIx07dgSUNWqlRd0CAwO5efMmAD169GDp0qWcPHlSFpqrVq0iMjKSsWPHAmaXztdff11h\n3GHN6tWriYiIIDY2VjZXkSkmTFVA8U9b/aKfSlGUVtegQQO8vLw4efIkJpNJMRkyYsQIXnvtNQYP\nHkxUVBTTp08nKiqKzMxMmjVrxqFDh9BoNPzyyy/MmTOHTZs2KU4xf/582rVrx9atW9m3bx/Tp08n\nMjKSWrVqsXPnTg4fPmxTDFomf3r06MHFixdJSkrC39+fzz//nOjoaKKiotBoNCQmJpKfn8+8efP4\n8ssv6devH9nZ2SWOuXDhQrp37868efP46aefZJOX06dPs2bNGjZs2IC3tzczZswgKiqKjh07otPp\naNWqFU8//TQffPABH3/8Ma+99hrh4eEMHjyYYcOG2bytt1tftnXr1io5ji2EEL+Wv9WdR28wsedc\nEg+0rn1brzvqRqZCXNX2dGZC9/os3nHBZmrQGzvO89Vv0fw5915qeZTd7sHOf5vs/EJcHNQ4qG+t\npURZXErSUt/XDX9PJy4laZn8TSQAWbpCarjZG+PeLu/8bG4VVLeGC9dTczEYTWiq4X0EyMkvJCIm\ng6gbmbzQr/Ed+165lGQWWBqVhMkk/nZhXp0C6xjQWJKkEMzCagQwynoDSZIaW6XyDcKc8gewC3hJ\nkiRXQI+5KPm9ouO0kCSpphAiBbOBhnU30vuAC0IIZZFTGVgaqnp7e/P888+TlJRk05Vs06ZNDBky\nhFq1apVqojBixAhCQ0NxcXFh165dcg3K3r17efLJJ/n000957rnnALN5xFdffcWCBQvQ6XQ4Ojoy\nd+7cO1LPZHH6MhgMqNVqmw1aLVinUb7++uu4urqyfPnyUrevbiRJKjflqaJkZGTw6quv4u7uTu3a\ntXn++efldeW52Q0cOLDcWfriwtXSG62iWPdkevnll/Hz8+ONN95g2bJluLm58dprrxETE4Ojo2O5\nA7Jp06Yp7Ost7NmzR7a+v379uiywli9fTkZGBgUFBYpG29ZcuXKF9PR0tFotHh4eBAYGyvuDubbQ\nYr4BZqExf/58m2YRiYmJctopwBNPPKGwia8uzpw5Q35+Pmq1mnbt2tG0aVOys7MV6bht2rQhOjqa\nb7/9lp49e8rLVSoVFy9eZP78+cTGxiJJksIYxcLhw4dl0dW3b1/S0tLIzc1Fo9EQHh5eaqTtu+++\nY8uWLahUKoYOHcqGDRt45pln+OWXX5gyZYr8fNWuXZvTp09Tt25dObXZ1vfIwYMH2bx5MwCDBg2S\nJ0fWrl1LZGQk/fr1w9nZWX7PVSoVjo6O9OjRA4BmzZopemfZsY0kSTOAJUDNyvTX2n8xmalrj7N1\najdCg2xPlFSEw1dSUUlgEqCS4I8593I5KadIYJWMYB24aP6eydYV2gWWnVIxmgT9lx1k1D3BPHdv\n1X83J2TpqOvjirerI5l5f32PpmoL7ALrNikwmD/3KgkGtKrNocuphL2+hw1TutK0tkc5e1ee03FZ\nCAGFRsG6P29Uy/Nii4tFAstgEqRoC/D3/Hu/z6pNYAkhDJIkPYNZLKmBlUKIs5IkvQZECCG2A89I\nknQfUAhkYE4PRAiRIUnSMswiTQA7hBA/AUiStBA4KElSIeYi5fFWpx1BGemBxQkMDOTJJ58EzC5f\n1kXrxWnbti3Xrl0rcyB7zz33yG52PXv2JCQkhPDwcFq3bs3OnTtlcQXmQc2RI0fIzs6WRZ6lcS2Y\nU+FmzJhBRkYGYWFhrF69uqIvq1ysRZXRaOTtt9+mRo0a1KxZk/DwcMUA+J577mHv3r2kpKTwyCOP\nEBYWRkZGBjqdjujo6HIb3N5N5OTkEBkZiV6vx9XVFX9/fz7++GPA7ChnEVhz585lyZIl6PV6goOD\ncXBwYMaMGTz11FOVOl+HDh1YuXIlEyZMAFA0k64IlsbCYE4VtLjQARw9epS4uLhSxY81Z8+e5bXX\nXkOr1dK0aVOFyYR1c9nr16/L/7ek9ZWFi4tLpSzS1Wo1JpPJpngt7kIXExOjFFjFxGxqaiqxsbFy\ng+A6depUuo+UyWRCHxVFYGAgzs7OGAwG3NzcbKYMhoeH89JLL3HgwAGSk5NxcnIiISGBhQsXEhoa\nyo4dO4iOjqZ3796K/coT4aX1zzp9+jSXL1+WBZNeryckJEQ2zahKjEYjgwYN4plnnqFWrVqKSRVL\n/Zher0etVt9Vdut3I5IkBWE2aYqtzH6bIuOYscHcyDkmLfe2BNb11FyCfFxZ8GBL3J3NnwlXJ/O/\ntiJYhqKaO3vz0X8OadoCpq49zlsPtyHfYKRZ7eqfmD0Tn0Vidj7RVtHRqiRTV0h9Pze8XRxItaof\nTNEW0Ni/6kXAfwmLPfsbD7UmLNg8sZadb+DpbyPZO6N3lZ/vzE3zuKVtkDcbI+PumMC6lJiDm6Oa\nXL2RlJx/scACEELsAHYUWzbP6v8lp9T/WrcGs1V78eWfAp+Wss/4ylxfQECAbDRRESqTtlG7dm1e\neeUV+XdbdVvXr19XDLCK24gfOnQIKH0QdqtY0hQtIstSU6VWq23OwFubWFy7dk0e9Ot0un+UwLp8\n+bIsHEJDQxU9miz3WK/X884778j3JjbWPE4q7jJXGnl5eWi1WrRaLXXr1mXMmDEkJyej1+sV0ZyK\n8MEHHzBu3Djq16/P+fPnFc/H7t276d27N1u3buXcuXPUrVuXxo0bKwwOLGRlZbF+/Xrgr4ithbFj\nx9KzZ08aNGhQYTfG2+H333+nT58+8v2dPn06o0ePVvQKA7OgKavm0M/PDz8/P0wmk5wu5+/vX6ma\nPJVKhYeHBwkJCbJwUKvVeHh4yCmjFiZMmIC3tzetW7fmwIEDspjLzc2V0zItxh7WREZG0rRpU955\n5x3ef/99/vjjD/z8/MqNVH/33XcsWLBAUf8WEhJCTEwM/fr147PPPqNPnz5oNBrS09Np2rQpCQkJ\nHDt2jI4dO5KTk4NKpeLSpUtkZWVx7tw5evbsydq1a3nllVfYuXOnXOc2ZMgQRowYwahRo2jQoAFX\nrlwhNzeX+vXrA+bIVUFBAadPn5ZNOSy91SxYakULCgrQaDR4e3vfERv6u5D3gJeAbZXZySKuAGLT\nbq/WNie/EE9nB/o0+6sHoKuDedLMloiyGFzm5P87ncX+jZy5mc0f19K5d9mvGE2CX1/sTT3f6q2h\n+/2q+W9Hel71GAhk5hXi7eKAt6uyvjlVe3cYFtwJsvMLuZZyexMstrAILD93JxrV+qvc5FpqLtlF\n3xdVyc3MfDycNAxuHcAbO86Tqi3Az92p/B2LiM/UkZiVT/t6FS9Byc4v5GZWPvc2q8XeC8mk3wVG\nF9WTgGmnBKVZLFvsvJ999llFqpB1bdPRo0fx8/NTNMa9XSzOYJZ+SvBXb5yysK4zq+peWNWNtZOb\nXq8nICCADz74gMWLF/P0008DZndHWymTFRWS7dq1w9/fn4YNG3Lt2jU0Gg2zZs3i1VdfrbQYHTt2\nLMHBwURHRzNkyBDuvfdeuVEwmCNImzZtYvjw4XTr1q3UCKx1E+DiQiYsLIyHH36Y0NAtNPmhAAAg\nAElEQVRQxXbVRXJysuL+Llu2jDNnzhAQEMDo0aMJDw9n8eLFFXKHjI+PJyoqSu41lZSUVOkIS1BQ\nED4+PnLU1mg02hR2devWVUSg1Wo1Go2GMWPGsHz5crp161Zqo+wnn3ySCxcu0KZNG2bNmsWKFSvK\nvc5169aVcPZ86KGHWLduHRMnTiQ4OJg2bdrQtm1b1q5di6OjI99//z3PPvssbdu2pV+/fuh0Ovk8\nRqOR+fPnc/DgQcLCwti9e7ccqerSpQvz5s1jxowZ9O7dmwcffJDjx4/LrRAcHR3x8PDAw8ND/n4Y\nMWIE7777Lu3atePq1aukpaVx6dIlYmJiZHOOuw1Jkk5LknSqtJ8qOP7/AfGW9iJlbDdJkqQISZIi\nrNOALcSm367AMuDhrJw7dXUqXWBZIlg5+SUn1+zcnaTnmiM8RpP58x2fWf1/i3+/ap4kzsjV8/OZ\nRCaujqiyiLbJJMjOL8TLxQFvF2U6YGpOSTfMfwLbT97k7M3KtWOd/v1Jhnz8G7vOJlZptoAlIujr\n7ohaJfHO0DZM7dMQIeB4TOmGUpXlclIOD3/yG+cTsqnl6UTbIqF4Ki6znD2VfLL/ClPWRFZqn6tF\nDoKdQszp/RnVNBFQGf52F8H/Cl26dGHXrl14eXmRmZmJwWDgueee49q1awA89dRTighFSEgI+/bt\nY8aMGZw4cYK0tLRb6ltUGhYXPEdHR1566SVSU1Mr5C63f/9+tm3bho+PD+fOnbtlK+a/Aw8PD9q3\nb4+fnx/NmjXD39+fZ599VrGNtUj57LPPeOSRRzh9+rQibaosrM1ImjdvTp06ddi8eTOdOnW6pWsO\nCAiQo2iJiYn4+fnRtm1bdDodISEhREdHy9tapxBaU69ePZ577jkcHR0JDg4mNze3yqOiFaV4Dzgw\nm4F07tyZzp07V+pYJpOpRP+r8mrniuPs7ExISAjJycnyfbZONbQlFHr37k3v3r3R6XQEBgYyZswY\n+fP0+uuvA+ZIoa+vLxqNBi8vL5YsWYKzszP+/v7ExMRw/PhxnnjiiVIjbpbvBWusUzuXLVsm/24w\nGLhx4wb+/v5s2rRJTtvU6XS0b9+e9u3bI0kSvr6+7N69Wz6G9bM+ceJEJk6cyI0bNxSGP9aCfNiw\nYbKpRbdu3Th37q+e8RY3RIvIrIp+fdXA4KJ/La09vin6dzRmt9pykSTpF6C2jVVzgTmY0wPLxNrJ\ntkOHDiVGUTcybj+CVdNPaYrkqFahUUk2UwQtg/RsewTrH0NasahOfEb1Ciy9wcSxaPNEVkZeoTz4\nzSkwVEn0IyffgBDg5epITU9lpOP3q6lM6P7Pazr83HfmydDotwZVeJ8LieZMmcnfRLJyfAf6Nitp\nuHYrpBQJrJpFUaRHOwaRW2Dg4/1XOROfRe+mtcravcK8tOkUJ2LNYqpbI19a1TFnapy7mV2p15Kd\nbyBNW1Apo4qYosh/WFHU626IYNkFVhGrV68mISGBGjVqMGjQoArVtlSGmjVr0r+/8m/vggULZOvm\n4rPmrq6u9OnThyZNmshRi+rog+Xn5yfbd1eEevXqMWvWLMA8iLJ2m7vbCQ4OJiIiosxtrKOI/v7+\n1KhRQ2FsUB7FZ6Tj4+PZsWMHISEhNtP3yqNVq1YUFhZy/Phx+vTpg0qlYvv27QwaZP7Svv/+++Vt\nSxuse3p6cujQIfk56tatG2FhYaWe02Qy0bt3bxwdHXF2duaHH36osnQva4v/0aNHExoaSpcuXW7p\nWMUnHNRqNfHx8bi4uODn51epY/n5+ZGdnU1BQUGFe6u5uLjYNKjYvn07c+fOZeXKlTRp0kQWIiaT\nSU7BrawQLAuTySSLIgcHB1lgOTs7065du0rNhBaPSlf0GtVqNc2aNePmzZt4eHgoosV3C0KIGABJ\nkroJIbpZrXpZkqTfgLKbw5mPcZ+t5ZIktQZCgJNF96wucFySpE5CiMTKXOeN9NsbLNuKYEmShIuj\n2mYfLEORwLpbUgSvJGupW8MFZ4eSZjgWErPymbbuBJ+MDsO3EqlH/xaK9/mJq2aBtS0qnvxCEw38\n3Lie9lcNVrpWXyUCK7Oo75WXiwMdrNLCNCqJX84ncyY+i1Z1bGcB3Y0UGivf+B7A39NZfi+rsmed\ndQTLgpuTBg8nDalaPXqDCUfN7U/gW8QVgL+HM66Of52jMuj0RkzCnPbn7VqxybrotFwkCVoFeiFJ\nthut32n+0ymCcXFxPP7441y7do2VK1cye/ZspkyZIqfGVDf79++nsLCQ3Nxc2re37Sy/bt069Ho9\nSUlJDBgw4I5cV1lYD8DudA+sO0FYWBj9+vUjPDz8lgTRm2++WaJH1sKFC1mxYsUtXc+XX35JZGQk\n9957L2AeTFtHBz7++GPZgKGsekJrAV9epNJS/7d371727NlTpbU01rVH77zzDjNnzqRp06asW7eO\n5557jscee6zCx/L396dt27a0a9eOxo0bYzQaSUpKKlFnVhFUKhWNGjWiZcuWtx3dCw8P58KFC3Tt\n2hVnZ2datmxJ69atadGiBYCcjlhaj7XKYv3+WIspSwNkjUZTYQMQa4MbawOUiuDi4kLDhg2pVatq\nZkOrETdJkmSBJUlSV+C23nQhxGkhRC0hRH0hRH3MrUbCKiuuwOympjfc2gANLAKr5LPl5qjhxI1M\nHv/qTzKt0meMRovA+ntSBD/ce5nFO8xmwHl6A/ct+5WZG8rMsmTF4WscvZ7O+ogKGwb/q0jX6hUD\n4tuNepbH2j9jaR7gyf+F1lH4DVmEnskkMJluPaUtS2d+9rxdHPBwdkBdFLVYXNRDKeY26xLvNLea\nnubq+Nf3b1U2A76SpMXP3RFXR+XfAV93R/64lkaTV3ay+2ylv6rKxN/LXBLh4+5oM5qUpSvk3V0X\nbH7X6QrNr72sKFROfiG/XfnL2yA2LY8AT2dcHNV4uzhUW61gZfhPR7CSkpJYtWoVw4cPVzQ2vVO9\nnSra28rBwaHKBy35+fkUFhZiMBjw9PS0aZ1tC0mSePjhh9HpdP94gZWens7Jkyfp3bu3PEi11c+q\nMowePZpBgwaRkJDA+PHj+fPPP4GKv9elIUkSKpUKk8kk17s0adKERo0asW1b+fX0nTp1wt/fn7y8\nPIXIEULQp08fUlNTyczMJDo6WhGVrOpIRO3a5uwqT09P9HrzF6DBYGDUqFEIIVCpVCxfvlyuBysr\n0mMtGqxTBSv6LN8JVCqV4nMSGBhIYGCg7KZYFajVaurWrSs/I0ajEZPJhEajqbQ4DgwMxN/fH0mS\n7mgU6g67E04AvpIkyTIlnlm07G9Do5LkSJJJwM3MW2v8azQJtAUlI1hgHrydvGGeYf7jWjoDWtU2\nb1+UNvh3RLAKDEaW7rkEwJwHmsupb3vOJZW1m9y/x2AVKTh6LY3p60+y7ZlulSqo/ztYcfg6+y4k\nseSRtgR4Vf7vaFqungZ+bgxrX5eP91+p1giWEIIrSVoeCquDj7sympBWFBlpNu9n2gV58/3kW8tG\nsNiyWwwuIl+5D4NJoCr6/krOyb/Vy79j6PRGsvML8fd0vuX0NGthlqmrmgkPIQS/X03jnpCSJQS+\n7k5EFtVgbYyMo39LW9nPt0btIgc/HzdHm4Jzya6LfPNHDHqDCT93Jyb1bCD/vbLUipYlVKeti2Lf\nhWSOzrmXmu5OnIrPko1earg5kpH399eU/qcFloWEhAQmT55MdHQ0GRkZd6yuKCMjg2nTpuHk5ETN\nmjVZvHjxHTkvmOuDLPU7J06cIDQ0tEL7eXt7l2ik+k8kNjaWevXq0axZM+677z4GDhzIAw88IK9f\ntWqV7Pw4ZcqUSgkkb29vvL29eeSRR3BwcECr1RIQEHBb17tnzx6ysrLw9vZm5MiRuLu7lzCsKIuv\nv/7a5nJJkjh16pQ8wTBy5Eh++uknAB5//PEq6zlmISoqqsQyT09PeYBtMpk4cuQI/fv3x9nZWa5l\nKk8ouLi4EBQUhMlkuivT04pTlfWUKpVKFq6nT5+WG4O3bt260vfi75g0EUKQlpZ2RxxJJUlSAY2E\nEG0tAksIUblK9ApQFMWqEAcuJsviykJset4tCSxt0ay3LYHlYjU7fjExhwGtapOnN8gRCe3fILD+\nvJ4u/19vMMkD04JyIngORRGOQqv79u3RWOIzdayPuMHTvRuVtqtNjCbB//ZeZlyXenck5fCnUzc5\nHpvJd0djGd8tBG2+gWDfkpkFrRfsYlSnYGY/0Fxedj01l5ScfHzdHZnYowHnbmZz1Oo+VjWpWj05\nBQYa+LnJg2YLW07E06+FP3qD6bauwRLB8nIxCyxLWpjJJNCoJJJv0ejij2tpzNlymvWTu1S76H76\n20j2X0zh2uIHbl1g5RbycLs6/HgqQdEL7HaIy9CRmJ1P5wYlS0x8rPqLWVvj3wrFI1HBPubn2cfV\nkYSskgLZIiC/OGRuD9MpxId2RRbyuiKBlZ5b+j04cDEZgNd+PMeJmAxuZuXzdO+G8jnTbvP1FBiM\n9Hh7/20d4z8tsAIDA1m0aBE9e/b8f/bOO8yN6ur/n6uVtL03r3fdvW644YYB2xhswASMIaaFEiC0\nBEwg9PJSQ94fJaRBQgIklLyhBQihGxtMMTbFxg0X3Nva3t6LtFrd3x9TNNJKu9pdbb+f59lnNaPR\nzJ3RSDrnnnO+p0skqgOpqqrin//U6qwHDx7czME6//zzWbt2LTU1NSxdupRJkyZF7NjW2f+jjz6a\niy++2BxLX2bjxo3s2rXL7Gm1bds2tm3b1szBvPzyy83HNpstZHPplrjlllv8ept1FKuTV1NTg9fr\njYihnpKSYjpYe/fuNdNA582b51fj1Zncd999PPDAAwBmDVFeXh4HDx5sVtdmxe12U1paihACp9Np\n1ilahRr6E0VFRWad17Zt23A4HL1CLj0mJibida/BkFJ69f6Mr3WGY9UeLnvuW0CLYv36rPHc+eam\ndkckjDS/YHUxTRZn5IdCrZjeqipY1Q0pgtsLfSIyhyvrKa0NzygyHDCrUxir12y9v+lwmx2sL3eW\n8KePd7CnpJYnfnJ0m17bHgyHev3BSmb8Zjker2wmhuD1SqobPPzt892mg1Vc7eLE334KwCUztVrR\nvNRY3lpfT2OTF0dU5Ks+nvxEK5kYlpnArJEZPHfZdDISoln45Eo++P4IX+wIu5d2SAyHJLChsM0m\nyEyMpjhMB6vG5eGk337KUQOT+Pul03lrXQG7i2t5+vPd3GVxUjuDFXrD7n1ldZS34BhYkVLy3qbD\nzBuTTawzioo6N6nxTlLiHH5pvB1hp66uNzaneWuQjASrg9Wx49UHKJQOMhyseCdbDjdvc+MJqFN7\nZ8Nhn4PVqEewQjiqbo8X4+vsvY2HzfVnTtKCIzkpsWa0vr1U1Xva7dgb9GsHKycnx8+Q7mqsqViG\nXLuVgoICdu3aBYTfhylcAiMy2dmRUavp6fz617/m9ddfB3wG/JIlS7jooov8tjvxxBNZsUKbvZg9\ne3aXj9PK/fffzz/+8Q+Kior81tfU1LTaTykc/v3vf+NwOEhJSeHnP/+5ub4zlQYPHjzI888/z6ZN\nm3jttde4/fbbmTx5Mo8//jhHHXUUoKXGtlYH9MUXX5j1acbyrFmzOm3cPZ3LL7+c77//nri4OJYs\nWcJ9992Hw+Hg7LPP5tVXX2319du2bWPp0qUkJiYyZswYjjvuuC4YdZezTAhxC/AqYH7xSik7LwwQ\nBnefPpZFkwdy55ub2u3sVNWHjmBZnamPNhfyj5V7mDvaV2e6o6iGVbtKyM9KJDOxa6LA1qa1B8vr\nm6njhcJIHSq2zFIbUuXfF1RxsLyOvNTWVXENjGvTVXVoRjrm17tLm0UvzW2C1OB8vt032XT1nOEA\n5KXF4ZVwuKIhaBSsI1TWN/LCai0iPjo7kSib8OuvBppD0VFKa1wIAalBBA2yEqPDNnS/21dOUbWL\noh+KKaioJ1qvU3th1V4uPW4ouSlahH57YTWZCdEcqqznvY2HSYxxcLiyngcXjQ97zFJKPtpSyPyx\n2UTZBIPT4thfVsf3BZVhO0df7ChhyUvr+PkJI/jVyfnUuptIjXPoDlZk7sVdxZqDNTyzeRZOerzv\nc97RiE9do//9mpeqXeu0eCelte5m6f6NTf73/apdJewurmF4ZkKrKYKGKEogRurw4LRY3t90GE+T\n11zXViLxXdCvHazu5oUXXjAfB0vlsTpBc+bMiWhj33Xr1vH444/z17/+lSNHjoQtQ97bsarL3Xrr\nrSxYsIBRo0Y12+4Pf/gD9957L7Nnz2b69OldOcRm1NXVceDAAUC7D+Lj47nssssi4lwBfgIrf/vb\n3/jPf/5DQUGB2V+qMygtLeWee+4xlx955BFycnL8mlq3xptvvsnixYv91u3Zs6fHOVgnnHACmzZt\nory8nNdee42jjz6ajIwMs0FxpHj33XdZtGgRN910E8ceeywrV64ECNo8PBRfffUVN954IwCXXHJJ\nX3WwjHqr6yzrJDC8G8ZCvDOK4ZkJXHjMYJxRNqJsot3peoZREEzkwjBapg1JZc2+ch58dwtjco4B\nYGJeMhsPVnLhM18zLieJ92/omkmlvaW1pOsG2LYj1fxBr8cCaGhsCqkkaBif72w4xJTBKYzMSuBQ\nRT35WQnsKKph9a5Szp0WvrNhGMRRXRTtNRwsaypkYASqMoiB/c7GQ2QkRLPy9hPNa2MYsgfK6yLu\nYG05pE3sPnTWeAYk+9ses/Mz+GJHCT8c8U3+1rg8JES33awsqXWTFuc0xS2sZCZGc6AsvAjdmr2+\n36w9JbWmY+byeFm1s4Rzpw1CSskpv/+cgckxHKlqwOrftsXB+nhrEdf8cy03nTyKslq32b9u86Eq\nM5qqHbuJaHvw+3izfn0r6xvNKF16QjQpsc6QTkRb2VVcS2qcwy8d0MCqKujyeGnyyqDvQTgE9tgz\n7s+0eCduj5c6dxPxlnvD6sAcNTCJzYeqOOnxz9j78Ok0GCmCIRwsQ2ExyibMyPwZE31lGEPS4mny\nSg5XNpiRtLYSibYV/VpFsLuxpsQsXLiw2fN/+tOf/JYjXVty8803s2PHDqqrq1myZElE991TGTZs\nGKNGjeKee+7hjDPOCOpcAUycOJG33nqLm2++uYtH2JyUlBSEEAwaNIhTTz2V999/n/POO69TjrV7\n925uuOEGHn30UZ5//vlOOQbA8OHNbdm2RsyCpUf2xAa3lZWVZgrmeeedR35+PnfeeWdEj/GLX/yC\nhQsXctddd3H++efzxhtv4Ha7TcGPcGsIrfWV//73vyM6xp6ClHJYkL9uca6khFp3EwvGDyDaHoUQ\ngoRoe7tnTw3DPVgEq14Xszh+pG+SyeifdNwI37pg6Tydxb7SOo4dkU6cM4pfv7vFL2pT1UKRv1UA\n4IF3tnDJ37+hoKKeWfkZOKNs7Chq2/eAYYh3VTZtdUMjg9L86x0DZ+utBraUku/2l/PpD8VcMWuY\nn+M5Qo9MbDsSfk1uuBiNck8NIn7w4s9m4LTb2HbYd9yiqvaJUZTWuPyMfSujshP5obCa/Ls/aJaG\n1ny8VaZQxt5SzcGaNiQVIXxS9hsPaud0qNLfuWoLhVUNPLFiJwAfbyvi+VV7zecOlNf5vZcticds\nKtDS2Jq8XtOZHZ4RH9EI1r7SWoaFqOfMsTjNHq9kxF3v+0WV24Lx3vz46FweOPMoc71RVxco2mFN\n+5wy2CcsJ6WkrpUUQUNh0agru+y4ofz2XF8JjeFUdUR9MhIRLOVgoc38XnjhhTz88MOsXdu27tEd\nISkpCYfDQUZGRlDnKTs7m5SUFKKiokhKSurUWopIFt33ZG688Ua2bdvGgw8+GNTI74mcfPLJSCk5\ncOCAKWbQWSQn+3qNfPHFF2atWqRJTEzknnvu4cEHH2TevHncddddfumJ4RAYzU1OTubDDz9stddZ\nV2NEqs466yxzXUdVJQMJdIaTk5O59NJLaWxspKGhgSeeeCKs/Rh1cEBYKYW9FSHEeCHEeUKInxp/\n3TEOj65+mW6ZXU6ItgdNDwuHapdegxXbPIJl1DUcN8KnJmak1c0Z5d83rqkDktttobTGRXZSTND6\nkJoWrkFFnZvjR/qrork8Xk4ak8XwzHh2FLbubFzx/LdMvH8pf1y+g0LdMaiMkHJbS7g9XlweLyMD\nUrYCDWqrClplfSOfbivCJuDCY/yzTbKTYhiYHMN3+8uJJGv3lfH2hkPkJMcETRkVQpCVGM0PFsdu\nU0HwssYNByoYesd77A9h8JbWuEOKUEwb6jO+D1e2XJtYWN3A5EEpxDmjdDEQF7mpsQxIiuFAeR2H\nKupZ9OcvQ74+3P5VN7yyzqzx2XTQv9anoLzer09ZSw7W3hLtery25iBX/1OzPfOzE0mKdbQ4wdAW\nymrdIVN+c1OaR3fe2XCoXccxIlhnT8nl0uOGmusT9Mkeq+z8/tI6v9RSa3TUiKRpY9eugdvjZdmW\nQlMMy9jXNXNG8MjiCdz1o7F+kw7G5MX+sjpW7Sppl0qtkW7dEfqHVR2Cffv2ceGFF7Jw4UJefvll\n7rzzTt5+++0uO/6FF16I2+2muLiYP/7xj82eT05Opry8nMbGxhYL/RXh43Q6e0XRv5Xp06fzySef\n8Morr3DJJZd02nGklCQlJfk1LDaa5HYGDz74IPfccw/Lly/nN7/5TZujhfPnz6e2thaPx8M555xD\nZWUlb7/9tlm32FO48sorcTgcDB8+nAkTJjB8+PCI1zxae2otWrSI0aNHA5hy6631PjOYMmUKmzdv\n5ttvvw0aVe8LCCHuA57Q/04EHgXO7I6xePQ6BKtyXWKMvcUUwZaMhZYiWEN1CeOpQ1L5yQztM25E\nsFLjnCywRCn2lbZvFrslKusa/WaFvV5JrZ42ZDiYJ47OZKFeqB6YcmSlqt5DbkosYwYkmuuGZ8Qz\na2QGo7IT/cQzQvHxtiKqGjz8fvl2M4IVrphCRzCuQX52ot/6QOU5ax3PwfJ6Vu0qZUJeihkRsHL0\nkFTW7+9YUb+V5VsKWfzUajYerOTYEc3lvQ2skwEJ0Xb+sDx4D9FX12gp7q+vPRDUeS+tdYdUb5w6\n2Kd+15oQQ2GVi+zEGPJSYykor6eouoGsxGgGpcZxsKw+qIO28f5TuFsXwAjmDO0sqqayrpGvdpfi\n8mj35O5i3+cj8HQOVdT7RV5acpSCKfelxTtJjLG3K0WtobGp2SRBaa07aHogwMCU5iUn3+5rn6Ne\np0fIrb28ADMt0Dph8uqa/VitMGvtXaElCmpEAp/4ZAdXvbiGVbu0Hpe1+rGSYh2cP31wsybJWYna\nef3x4+1c+MzXvGMRwggXVYPVQUpKSnj55Zf91kVSqa81wjX0DYW0SFNbW8umTZuIi4tj4sSJEd+/\nInKceOKJnbbvL7/8kmuvvZadO3cye/ZsnnnmGbOpdU+WPLc20LWmBho9tHoKF198MaeddhoJCQk8\n/vjjnXKMJ554Aq/Xi8fj4dRTT8Xj8ZgS923FaIjchzkHmASsk1JeLoTIBp7tjoEYAgfW9KiEaHvI\n6M0vX16HI8rG4+cF/51qycF6+eqZbDlchT3KxjVzRvDyNwfMCFa8086TFx7N13vKuOjZr9lXWhe0\nKL4jTHrwI1LiHKy/9xQAMw0oITqK60/KZ2BKLHefPpZv95TxzoZDLUawXB6tPuupi6dy3t9WU1zt\nYmhGPEJoYgPvbTqM1yuxhVlPYggBFFW7OlSHEg7GezQ8IG3L6lA1NDb5GZrf7Clj48FKLjt+aNB9\nThmcynsbD1NY1UB2UnOjedmWQrYXVnPdieGpK26z1FXNHB76O2RCbjLbjlSTHOvg9Ik5vL0+ePTD\nkNX/0yc7cUTZuH5evt/zJTUuvyiuleQ4By/8bAaX/uObFh1gT5OXkhoX2UnRpMU7OVBeT0Ojl8zE\naPJSY/lse7GfXPhvzh5PVb2HpBhffVJ1Q2MzZ+SCp79i2pA0Ptx8hIl5ybg93hZFN4qqXSTF+oQq\nQgk1NHmlX6TrgumDzChMYoyDGpenTffisi2FXPfSd7g9Xvb8vx8hhEBKSXmtO6h4CBDU8SoMIqke\nDkaKYKzD/7vHqMmzRrB2FNYwNCOeRxZPpM7t4djh6Xzw/WG+2FHCoQqLg6VfH0MJ0Xj/jRqseGfw\n2jan3UZqnIPCKm37pd8fMRUGwyUSqqr92sGy8vjjj1NVVdXtggZdxbPPPstVV10FwIIFC/jggw+6\neUSK7iI2NpaNGzcCsHTpUpYuXQrARx991GvUJW+55RYWL15MdXW1qULYk2iPo9MWLr30UgBuu+02\nrr76agAefvhhbr/99k49bi+lXpdr9wghkoAiukngIliKYGKMPeRM/dbDVS1HdhoacdptQYvqs5Ni\nTOPbkMM2HKxYZxT2KBuj9YiQEcHaVVyDq9HLuIGREdSxpsEZBld8tJ0JeclMyNPSk+N0g8yYEQ+G\ny+Ml2m5jWEY8t54ymtve2GhG6DISnDR5JXe8uZH/PXtCWCpiu4tryUmO4XBlA5/vKObE0Vmtvqa9\nGI5joCR5WW0jq3aVMHNYOnMf+5QjuoOVHu/kpW/2427yMiE3udn+AI4erKUhv7h6L7eeOsZcX1Lj\nIi3OyVUvamnTV80e3my2PxjVDR6i7TZe+NkMZgxt3j/J4L4zj+L208aQEG3nL5/uCsspWLWr1M/B\ncnmaqG7w+EmGB3KUfv89/OFW5o3NCip+oinVQVZSDGnxTrPHWlZiDKMHJPHmugKWvLQOgC/vOMlU\nFATfhERgWlhjk5eSGreZ+mjUbwFMHpRCZmK0X1PsxBg71Q0edhbVmGIyoXpilde5afJKfjF3BMeN\nSGd2vk/RMynGF/UJFrEMxOVpMt9j0AQ+hmcmUO3y4PHKkBGsYJP84bZKCMT4XgqMYBkOljUqv1ev\nC5s6xJf+efnxQ/liRwlHqrTvpMQYu+mcevWo/ZMrdnLCqEy/745QZCfFmGm2X6JXCrIAACAASURB\nVO4qadOEC2ifgY4mO/XrFMGsLN+X6M0338yiRYv80qO6mxdeeIGBAweSmJjIDTfcENF9Ww2+Dz/8\nMKL7VvQuQvWAmzdvXo+PbD777LOMHTuWm2++mZqaGn71q18xZMiQ7h5Wt2FNBSwoKKCioqJNKoL9\nhDVCiBTgGWAt8B3wTXcMxBfB8kWKE/TZ62CU1zVSUFEf0vmobvCYxllLGNsYReDx0ZpRlB6vKbnd\n/84WymvdzHv8M370py/CP6EQBEsLq7GklllJ0MdizFIHQ3OwtO0WThrIVbOHccN8zWjP1NODXltz\nMGjz28q6Rs7+i1aHMyLTF0W6YpbWEuLy577lUEXb+pBd+6+1PP15eKnJVabSo537F47jb5dMxSbg\nn1/t48JnvubF1Xv9nKtJg1LMGfyJecEdLMMB+fOKXRzQa1vKat1Me2g5v1/uU2b8IUwhjKqGRpJi\nHcwcnt6iUZoQbScjIZoYR5SfUxBIicXJGJjiL+5hOCAtNXg2IjAHyup55Zv9QbcxIn7ZSTGkxjnN\n1L3MxGhOGJXJ9Sf5oneB0TKjZjEwLcxI7ysIcj/8etF4P+U6gHljskwneGRWgt/5BWKkB44fmOzn\nXIHP4Qs3Tc1InTP4ZJvW0sWIAIWKYAG88YtjefFnM8zlslp3u2owjYh0SAdLvy+8Xsne0rpmwhvJ\nsdoYjQhWbkos5XWNfL271HztzqIa/rB8u7nckoNl1J0NSY+joq7RjFKHS1V9I4ntUMS00q8dLKMp\nqUFFReRymCNBVVUVhw8fpqamhtLS0tZf0AZ+9KMfmYb1tddeG9F9K3oXycnJfPvtt+zfv99MRY2L\ni+t04ZNly5YxcOBAhBDExcXx7rvvtnkfR44cYdu2bWzYsIEjR450wigjw8MPP8w111zDBRdcwOHD\nbc8HD5fU1FQyMzMZOnQoTzzxBKmpqTidTl577bVOO2ZvQ0p5rZSyQkr5V+Bk4FIpZbc0RGxqkjjt\nNr9UF01FsLmRKqU008isNSBf7y41I07VDZ6gEu2BBM5cx+jOihDClJi+9+3N5vMtRZPCwdpjxxAS\nMGehnf5GTJyzeUqRFU+TVgRv9DiKdUZx9+njzJl+a0G/9SxLaly8u/EQf/50J+v0eiVrGuSkQSlc\nO1f7TQxmULfE+5uO8L/vbzOXvV7JL/5vLV/ubN6Et9B0nqK57PhhnHrUACbkJrNVV2/cX+Y79oDk\nGNM4dkRp6Y/BiLZHcdPJmiKuYdBv0/f3+tqDpOrKeusPBrdxpJT8ecVODpZrzllVgydommlLGM2t\ng9UcWVP7Ag1wo/dZqBRBwC8iVt8YXIjCmCzISY7xi9hk6ffDosm55rrACJhxru9tOsz3FqGOlkRP\nRg1IaCYmY4+ycdoErZbRZhPYbSKkg2Vck2CRO+Mz3JJABmifpf+uL+CtdQUkxth5/5ezOWZYGn9c\nvoN6d5N57FARLICpQ9I4ZrjPFvbK0P2nWsJQKY0NUYNV3eDh7Q2HWL27FLfHa0acDQz1x6Wbtd9x\no77y/Ke/MmtFAWKcUWa0LFSKIPjqsH5xgvaZXtvG2rJwv0tbol87WF6v/wc1WLPf7qSpyTeDt2zZ\nsojuOzo6mrVr17Jy5cqwFcYUfZdp06YxaNAgXC4XbrebQ4fapyTUFvbs2WM6G/X19WZj57Zg7aVV\nXR15meJI8dJLL/H000/z6quvsmzZMurqOt6cM5B77rmH+vp6HnjgAXbu3Mlpp51mPteZTaN7G0KI\nfwohrhJCjJFS7pVSbuyusXi8kox4f+GdxBg7Na7mhl2tu8mMeO20yJCf//RXnPDYp3y8tZB3NhwK\n2TsqkB8f7TM4rVGKZ346jfysBD81sa2HO/bZstasGIZlqFloY7k2RCqkW3fQoh3BzRerg3WgvI51\nurrei6v3seSldTz9+W7zeavDMio7kZPHaSnRbSlwt4qOGI/3ldXxwfdHuPZf3zXb/ps9ZSTG2M0I\nB/jXOVlT+C6YPsg0PFPiWhZomq6n8hkCAFv1aJWUvgjNF9uDi2UdrmzgsaU/MP93n7G9sJplmwtN\nhylckmJ9hnQgJZb3P9BxNiI5LUWwwNfnKFR0ce2+cmIdUYwekOgXsTEM7aEt9AgzzvVfX+/nV6+u\nN9cHSovnZyVw5axhzB2dSbQ9qtk1ckTZmKNHo4ZnxJMa72zVwQqm8JcUpoP1r6/2ccMr6/nv+kMs\nmjyQcQOTOGdqHtUuD8XVLtNRCkxHDSTaHsWFxww2xW/CbfhtxYg4xzkDP8/a99Eflm/nly+v46Jn\nv8Ym4MQx/lE7Y4Jk48FKJuYlc5XeSDsxxm5GdAHsNkGtS0thbSn9d2h6HPHOKM6cPJAYh83vOzMc\ndpXUmj3m2ku/drASExMpLS2loKCAoqIizjjjjO4ekh/XXnstCxYsID8/v12z+62RnJzM8ccf328k\n2hXh4XA4/OTaO4vU1FS/5faIU1hTXc8+++wOj6mzsDaFvvTSS1m/fn0LW7edG264gYceeog777yT\na6+9FpvNRmxsLMnJydhsNuVg+fMPIAd4QgixWwjxhhAisjnYYVLn9pAWMIOdGG2nodHbTDLaqkxm\nGAtW4/6KF7QajK1h9rH63fmTg64/dkQ6d/5ojN+6YL2xVu4oYcJ9S8MqBi+q9hlIcx7VJlIMgyww\nRdCIcNSFiGC59AiGM4RxZY0I3P7GJs7+yyqavDLo/gZZDKjkWEfYkQOAL3eWcKii3q8mrlh3Foz+\nUYZzZOXrPWXMGJrmF5WZmOdrOm44INfOHcHFM4eYhmdr6UqGIVunX1fjPiitdZlG/hc7SmhobO64\nGrVxDY1eTvn957ibvG2OYPmunf/90OSVFFTUc9XsYYwZkNgshdAw5luqwQJ48sIpjMtJMqNsgazd\nV87kQSk4omx+ERvD8WvJGLc6Stb3JTCC9dJVM/mfM8bx/OVaSl1yrO8a/fyEEdy+YDTjc5P55OYT\nuPz4YaTFOf2ELKwc0COVgSmTEH6KoHUSwqgbtKbkGSIPLUUHDf737AlmlC+YuqHB9wWVvBdElW9/\nWR0DkmKa1d9F26NwRtn8VBFn5WeSk+x/3qlxThxR2muPHZHOUQOTufTYIbg8Xhoavdw4P59YRxQV\ndY18tKWwWaQskCtnD+fDG+cQ57QzND2ePXp/r8YmL7uKa2hs8vpd3wNldea92djkZevhqpApueHS\n70UuqqqquPHGG0lNTWXs2LHcdttt3T0kE6fTqcQnFH2WY445hnvvvZetW7dSVVXF3Llz27yP/Px8\nampqSEtLa5by25O44YYb+PJLX/+VSPfBev311/2WhRBm0+D29ADpy0gpVwghPgemo8m0/xw4Cmje\nK6OTcXm8zeojjL4xNQ0ev5lnq0CE4WAFk3IOZtSHYkh6XNBmnJMsBn9KnIMtusNQXK2l2Z0zNY8/\nfrydapeHLYeqWlSaa2hsYsU2X+TE45VIKS2F6v6GkiPKhtNuoyZEWqLLY0SwghtYgQ4baGlrwdK9\n8lL9oxo+w9ZDQUU9CU47yUGuZ0NjExc9+zXDM+N5+aqZ5vrVu0pZNDmXzXrTWMNwL61xkRjjIMom\n2Fdax4/G+9fujMr2fR8c0B2I0QMSEUKY72drBfpmaqXbQ53bwyo9PbGxSdLY5GG03rB3/YGKZu9X\nsGsTHYYYhhVTKCLgntxbWovL42X0gCTW7a/wc7DmPraCvfr911oEC7T+RruKg2ca7S2pZfHUPMA/\nYmON+v33uuMJ9m2YFGvnilnD+GjLEdwe38RGZUBvskCn05oieMdpvkkJI/U0Ld7Jsi2FHCirM5vf\nGhworyM7KTpoxNk4zle7S5k3NrTQlLVWyqj9ireIxOwrrcMRJYI6ccEwnNxAB0tKyac/FDNjWBpn\nPLESgNMnnu63zZZDVSHFcOKjo3DX+a7rnPyMZttE2bT05MYmD2MHaPtJT4g234/MxGjSE5x88P2R\nkFFBK7HOKPOaD8uI5we9N97vlm3nqU93MSIznl3Ftex9+HSklMx+dAWTB6Xw1nXHs72wGrfHy/gQ\nojLh0q8drCNHjjBjxgyzx9TMmTN7lIOlUHQlUkqqqqqor6/v9IbGAIMHD/ZrbNsePvvss05pYRBp\nzj33XC655BJ27NhBbW1txCOE1gjVySef7Pdcb+v71tkIIT4G4oHVwBfAdCllUXeNJzDlyToD7edg\n1fvqKXbqBdsVAbUSD501nlkjmxsvofjwhjl+BqVBekI0503L4/iRGbz67QHTYXjp6/38fvl2nvty\nr2kEBnu9wR+Wb+cvn+7C7fEyOz+DnOQYXltzkGqXJ6TIhbGuLoTIhdGLKJQDIITgyztO4viHPzHX\nldW5gzoRyXEObj11NMfr18x67S94ejUnjMrkobMmNHudoSpXUF7vNwv+n3UFLJqca9aMGIbg1IeW\nc8KoTB5ePIEmr2xm8A61FPwbDq/heBsRrNYE0MwIlruJ6Q8tp9bdxOkTcnhvkxZtmDc2i+1F1Xy9\nuywsB6utTZeTAiJYXq9k86Eq02EcMyCRhBi7XyTWcK6iA+oQQzEqO5HlW4uodXlMR8LlacLl8VLt\n8piRmhlD0/jZ8cM4b3qe3+snDUpptk/Q7pl7zhiHy9PkF52xXgNnlK2ZM2Scc2qISY1jR6Szencp\n7206zM9P8BeTOlBWF7KmzogGPvPFHq6dOzJkip/VEcrSFUKtfaf2ldYyKC0ubKl3o9lzoIrp86v2\n8sA7W7hkpk9AyqrK5/I0sau4hvnjgqtvJsTYKa9rJNpuw+XxcsKozKDbpSdEU9XgYZTeI87aviIl\n1klijIOD+mfrmGHhT6gOy4g3WxU89akmRmM46qU1LjPteL3ePNoQgxkXpAF6W+jXDlZtba2fsEVP\nngFXKDqTzz//nBNOOAGAWbNm8cUXHVcO6wp6g3Nl8OKLL3bavp988kkqKysRQpCfn8+GDRvweDxM\nnTq1047Zi9kITAXGA5VAhRBitZSybcoGESKwBsMaRbFiSA5PHZLKim1FNDZ5m83kLpw0MCxZZ4NY\nZ1TIVJtHz9F6bX1fUMkLq/dR3dDIXl1MY3+ZL+p15YtrePqSqcwNIm1uNJ51Rtn43XmT+Wx7Ma+t\nOUh5rbtFqeU4Z5RZSxSIGcEKIkVvkJsSS2qcw7xm5bXBHayEaLtfb6g4ZxQ2oUVDDpTVU1QVPFXK\nqOsanBZnvk8pcQ5TqcxwHouqG8zz/Gx7selMBzZ4dVjS14xrbKS5+RysMCNYLo+ZOnbF7GGmgzUo\nLY78rAQ2FTQXuthR2LzGrryubQ6WT+pce93vlm3nyRU7OW38AGxCU9WLj7ab947VMc9NjQ1rImja\n0DSavJpIySw9CjL/d5+Z6XZGum2sM4p7F7a9n19qnJPK+kbTeTDuGUeUCJoyGeOI4v6F45gdwmG4\n/qSRPLliZ9CIy4GyupCRX2sUen9ZXasO1hu/ONZcZ3W095XWMSSEExeMpBgHdpvwE6Wpamjk98s0\nJcovd/lEW6obPGZ0t6C8Ho9XMiJE7zyhy83cOH8U508fFFJ04y8XTeH5L/eaEd0MS1QzJc7hlyb7\ngkX5sDWyEqPxeCWn/P7zZs9tL6wxHSzQrumOohrsNuE38dEeVPGNzqxZs5SanqLfYo2orFy5kptu\nuqkbR6NoK6eccgrnnnsu48ePZ/LkyUyePJmf/OQn3T2sHomU8ldSyjnAj4FS4DmgWyRkh2fE88RP\npvitM2avA2tVynSjZ/rQVDxeyb7SOr+0wRiHrU3OVbicOSkXt8fLi6v3saeklkFp/tEXt8fLZc99\n2+x11vSlK2cPIzMxmrR4bXxluoMlBKZqoZXEGIdfpMOKUYPVWgqb9VqU1wVPEQzsCSWEICHabvZQ\nsjp5FXVuU61xryWt0nCw8lJjzZQyo+dPY5P0U3x8fW0BgF8PJoNv7p7H6OxEjIzeAckxfufRmgNi\n1K4Z98Stp47265uVFOMgPT6ayvpGPE1e/rxiJ+9sOMTraw/yuG5AW52I9tdgaef+/veaY7d6dylD\nM+KJcUSRGG03r421Li8nuXlz5GBMGZyCEPDdfp8i3AGL6mI4tUYtkRzrwCt951BW6yYh2k5uSmzI\n63HZ8cNCOxZCkB7vbCYa4fVKjlQ1hEzdc0TZeP+XswHMiI2VRz7cxq/f3UJJtZsZw9KYOsQXHDBU\nOY0I1pD08J0Em02QFjDeVTtLqGrwcPbRuX73cpklem6IgYRyBBeM1zJiAhUeAxmbk8Qj50w06+Ws\ndXkpcQ7zPUiMtoct5gMETfOdrTvoPxyp8ptgmPbQcp76dBfDMuL9Jj7aQ792sKw9Y+69915OP/30\nFrZWKPougQ2F2yM4oeh+UlJ8KTA7duxg//79uFztaxzZVxFCLBFCvAqsAxahiV6c1vKrOof4aHuz\nCFZCdPAC95IaNzbhU4vbWVTjJ6dsNBGONBPykpk7OpOnP9/N+gMVfoIMVrwBvXOsDUsv1lOLUvS0\nt7c3HOKfX+0jOzEmaG3RUQOT2HCwMmj9oJkiGEJF0MBaH1Ne6/aTDzd68AS7ZokxDnbrBfHW5qhn\nPLGSEx77FPClZpbWuk1HODcllqoGrdFutcU5tooyvKz3cMoJYlhnJcaYzuvkQSnm7L2R3tValpdR\nu3aost48f0eUzXRg0xOcJOiNcN/deJjHlv7A9S+vM8cEvt5NE3KT+ctFU5ofpAWcdhsxDpt57kaq\nY0Vdoym5HR9tNyN6hRZluKmDUwmHxBgH2YkxfhFUK2nxrddxtYSRlmmk4xZXu8hKimZoRrxfNKUt\npMU7KQto3ltZ34hX+qfABZKn3wuBoh5VDY089eku/r5yD8U1LjIDxmVEhPeX1lHrbmpRPTEYGQnR\nfqmHxmfh/oVH+U2uWL97jM9DSogJntsXjOGpi6aYEvbhkpviG3tKnNOsT80IorzYEoETT1mJ0bz4\nsxlkJkbz7b5ys3eclfzsjtdJ92sHKzs7m4ceeoinnnqK+fPnd/dwFIpuIysri1tuuYXMzExsNhsZ\nGeHXcSh6DqmpqQwcONBcHjJkiN9EkgKAGOB3wBgp5Xwp5QNSyk9ae1FXkRCiYWtJjYu0+Gjy9fqE\nXcU1vLh6n/n8qUd1Xt3kTSePol5XnwtV+xCY0mfIUP/14inmTH2absA+9+VeyusaGTUg+ETO9KGp\nlNW6gzYHNVLLQqkIGlijGUYNllGD8/CPJ7D34dOD1n9ZIxX+jpLmuHi90kz5Kq9zmxEjQzCjuqGR\nGlejGWEzemoZzYAXThoY9Ljga7K6eIpPQn/0gETmjs7kkcWtN32Pc0ZxpFLbh2FUvnbNsTx10RSm\nD00jUXewrA6KtT+QEVm7ZOaQZipv4ZAY42B3cS3PfL7bL4I5Ols794RoO7XuJrxeyWF9nDfOz+f6\neflhHyM3NdavL5KVlqIj4WCk5hnpkYVVDWQnxvCbsyfw+HmT2rXPtCBS7Ub0p6XxJsU4SI51NItg\nfbnDl6a3p6SWsTn+nyEjRdBQ/mxLBAs0p8/aGHpvSS2ZidEkxzn8Iq8Vfg6WHsEK0dA4yiY4bUJO\ni2m9wRhgiWymxDrMz02gU9kaRhNjg7OPzkUIwdxRmXy+vZgjVQ0MD0gHvPiYIXSUfl2DZbPZuPvu\nu7t7GApFt2Oz2Xjsscd47LHH8Hq9fj3YFL2H6OhoCgoKuPjii/nXv/4FwGWXXda9g+phSCl/K4SY\nBVwCPCeEyAQSpJR7unlogE+OO7AGq6TGRUaCk4RoOznJMbzx3UEzZefG+flcM2dEs31Fiol5Kay+\n4yQOVzYwLieJxz78wc/5AM0htDbmDNbnJ9AAiw0RhZo8SItofF9QxcgsfwOyNRVBg7tPH8e6A6uo\nqGukqMpFrbuJeWOyeO2amS0aelbnpyaISqPVqZLSV49m9MyprG+kpsFDVlI0B8rqTQfrjxcc7df7\nKhi/nDeSFduKudBi3EXbo0xZ8NaId9pNx8VwsCbkJTNBl5tOinFQ4/JwpKrBFBywcuLoLN7deJjM\npPZFa5Ji7CzfWsjyrYV+6/PNmhrt/S+qdvHf9YeIcdi4avbwNqVi5abEsu5A8KaxHU0RNJQMl24+\nwuRBKRRWNzB1cGrQlM6w9xnvNCXCDYz011AOicG4nCQ++P4wN508yky/s/aEAjhn6iC/ZWeUDbtN\nmK0ChrQjgmUd756SWobpTpo1ElRW64sIGw5pWxRM20qcM8r8fslIbNv7bB33untONqPbpx41gH+v\nPcjSzYXMGJrGP688hrIaN+4mL1OHhBdVbYl+HcFSKBTNsdlsOByd90Wp6FxeffVVtm7dai5bmzEr\nQAhxH3A7cKe+ygH8X/eNyJ9QNVjFNW7TWRmZlcDu4lqEgDX/M58b549qtS9MR0lPiGZ8bjI2mzAN\nlKHpcVw5axjQvIGs6WAl+GahE2Psfqlux4Yo8h+SHocQBJWQb01F0GBkVgLr7z2FIelxpkGeHOto\ndRbd6hAGnhNoaYHldW4z0rW9sBqb8PUzqqxvpMblMRvcGsIW4URXFozP4ZFzJoat+hZInDPKPF5S\nkJqhhGg7NS4Phyvqm9UNzRiWxuKpebz/y9lmT6W2YnWwrdLzwzM1A31YhrZuw8EKlm0p5IpZw4KK\nnLTEwJRYDpTV89/1BX5pqWnxzg7XIE7MTWZ2fgYvrNqL1ysprHKRHWZ9WCjS4qObR7BqW49gAdy6\nYDQlNW5W/OATOS2udhFlE/zxgsm8veR4vygPaHVf8dF2Cqtc2ETzVgStkZkYTXG1y9c0u7TOdNJS\nLJEgawSrss6NEP7vf6R475ez+M3Z4xFCMGdUBhNykzllXNui9db7IjXeaX6+ThqTRb4+6ZGe4CQ3\nJZYJeckRca5AOVgKhULRp9i4cSPfffcdAPfffz9Dhw7t3gH1PM4GzgRqAaSUh4AeU3QY47ARZRPN\noielNS6zDsQwjuePzW53bUhHMJyLk8ZkmxLngRG3oiARLKtzduWsYfz02KFB9x/jiCInKcYUlbDi\nUxEMz3w5bkQG6/ZXNBtLKO4/8yguO24oi6fkUetu8kt1AyipdlFe28hkPd3wk21FDM2IN6MRRVUu\nGpukmcZ0qKIBIZrXgXQGcdF28/oEO15ijJ0mr2RPSa2fsMTvz5/Ea9doSnShehmFgzW90tq8d6ge\nARmmO1pGj64xA9p+LCOV69Z/b6ROT1u9fcEYPr/txFZ7hbWGzSY4eVw2de4mthdpvZCyEzvmYGUk\nOqlzN3HF899SWNVAea2bq/+5FggtCmEwMTcZIeCm1zbw0tdarZwRyV40OTdkPaQRhR2QFNNMyKU1\nBibH4PJ4mfn/PqakxkVxjYtcPTprfX+tdUsV9Y0kxzraPTHQEkcNTOYiPaJ73IgM3rl+FmcdndvK\nq/wJ9dmz2QTT9ZTnjqaXBt1/xPdoQQixQAjxgxBipxDijiDP/1wIsUkIsV4IsVIIMU5fny6EWCGE\nqBFCPBnwGqcQ4mkhxHYhxDYhxGJ9fbQQ4lX9WF8LIYZ25rkpFApFT6Sw0JeeEyheogDALbXpWQkg\nhOiYFm+EEUIQ74xiw0GfsKGU0jSswCdGsHDSwKD76Gy8+ux2ZmJ0yJqx4moXidH2ZpE1w9iZMiS1\nRYN4SHq8KVluxVQRDFNFzNrUNBxnNDsphvvPPMqsbal1e/ycrP1ldbibvKaDBTB2QJJ5XkZKYJae\nZldQUU9KJxmfgVh7SQUzKo33am9pnV/kI6uDToSBNdXPKjJiKL7lJMUQ47CxalepttyO6NCiowcy\naVAK0XabKQSTEucIWdfWVgwBlC93amMMjBC1lXw9xfXjbUXc9eYmvt5Taj6X1kqKoD3KZqpK3vWf\nTWw6WElJjbvV+9hQlGxP9M1ozltY5eLdDYeQEgbq9XhWZ239wUrzcXldY0iBi55AS05mYO1VJOk0\nB0sIEQX8GU2daRzwE8OBsvCSlHKClHIy8Cha4TFAA3APcEuQXd8NFEkpR+n7/UxffwVQLqUcCfwe\neCSS56NQKBS9gVtvvZW3336bZ555hrlz53b3cHoirwkh/gakCCGuApYDz3bzmPxIinXwxY4SU4Cg\n1t1EQ6PXNKx+NCGHJSeO5JRx3eNAby/UxCdmDEs1ZaGbpQjWuIJGjAxDrDWDbEh6HAeCiBmEmyJo\nYK17CieCZWA2HW7w+MmC7yjSzj0vNdZMdxw9INF0aAzVNyOCVVbrbtNxO0K6xfBOChrB8q0bZOmP\nlBWh8TVa+gklxthZcNQAv8bXNptgcFqceQ3b47xE26NYNGkg1S6PmUIaKecKfA7Wi6v3Am2vYQpk\njEXI5ZMfikznEggrrXeaJV1t4ZMrKa52tepgGdHUAe1QFrWmFBbqUegcvW+b3eJAbz1URZ0ubFNR\n5ya5FWexp2JErsrrgreF6AidGcGaAeyUUu6WUrqBV9AkcU2klFWWxXj0GUUpZa2UciWaoxXIz4D/\np2/nlVIakiqLgBf0x68D80Q4nesUCoWiDzF69GgWLlzIlVdeyZgxY7p7OD0OKeVv0X4j3gBGA/dK\nKf/UvaPy568Xaw2iv9qtGWMluqFjGFZp8U5uOXV0m3rBRBKjmH1CbkrIxsjF1cEdrJ/pNVtGuljo\nY2hNX6WUvLbmgBkhM1Lgwk19shqMGS3IYgdiRHtqXR7O/etqc72RqpUWH206LPPHZpOe4MQZZTPV\n27IsQhGRihC1huEopcU7gwpHWBu1js5OtLwuMuOzNg+222z89ZKp/N+Vx/htY9SqCdH+4xpO0PcF\nWhQloY09u1piYLLW88pw3tqqwheIIX4CYLcJU/nz4pmDw3r93y+bztzRvkbGJSEmLqwYoiLtad1g\nHe82/V423jNnlGZSzxiWhrvJy+Mfaf3TDlXUk9NJbSIixePnTuKVq2c2Wz9vTDbjc5O4/qTwlSzD\npTNVBHOBA5blg8AxgRsJIa4DbgKcwEkt7VAIYcTkfy2EmAvsApZIKQut/N/iZwAAIABJREFUx5NS\neoQQlUA6UBKwj6uBqwEGDw7vBlcoFApF30FKuQxYBiCEsAkhLpJS/qubh2UyPjeZkVkJvLBqLxcd\nM9jsS9PW/i+dxRu/OI6C8nqcdpsZPQiMYJVUu4LW8yyanMvCiQNbrZdJirXj9nj5bn8Ft72+kd8u\n/QGvlEzReyaFG8GyRgnaEukwtt1tUVRbPCWPN747CGjRgRd+NoM6l8c8zzE5iWZqWZbF4OyqCFa2\n7tSFig5aa2hGDUjknKl5vL72IEmxkTEFPZZUSknzHmbgM9YzEqLbXB9kYNQgrtmrRRYTIxjBstkE\nL181kzOeWAl0PDomhODRxRPJSYnhnre+Z29pHSlxDh46a0JYr0+OdfD4uZOY+tBy4p1RFFW7zPc5\nFLmp7Vc9tIqOGJFqI5XTiGBNyksm3hnFyh0lSCk5VNHA3HYKo3QVi6fmBV2fHOfg3etnd8oxu13k\nQkr5ZynlCDRVp/9pZXM7kAesklJOAVYDv23j8Z6WUk6TUk7LzMxs/QUKhUKh6PUIIZKEEHcKIZ4U\nQpwiNJYAu4Hzunt8gSw4agBF1S5e/uaAz8FqQwSmMxmRmcCcUdrvp2GQBavBCuVYhCNGYIgk7NUd\nnKJqFyU1bj7aUkicM6rVPljBaEtSi5Fi9+kPxQC8/vNjuWCGTxI7OzmayYNSOM6SAjc+N9l8nGeR\n9o5UCl5rGBGhULLnVuXAgckxPLJ4IpsfOLVN16Ul/By74P4VA3Vjva0NcK0MSoslPd7Jp9s1db1I\nRrDA/32MBOdNH8Ts/EwzLbOtqXvpCdHcMC/fFF0ZktZyVG2QHrU1emK1lW2/XgBo9YMJ0Xbi9DTg\nBXqvvbOOzmXUgER2l9RQUuOmvrHJdJwVPjozglUAWAX68/R1oXgFeKqVfZYCdcCb+vK/0WqvrMc7\nKISwA8n69gqFQqFQ/BMoR5uYuxK4FS1z4iwp5fpIHEAIcT1wHdAEvCelvK29+7rl1NE888Vuiqtd\npgHZ1gabXYHTbsNpt5niDqClDFW7PB2K3BjRlt0lzZsND8uIb5NT8Og5E00nNVyMOpZ1ev3V2Jwk\nvzTI9Pjm5zZ2QPC0u66KYBnHcdiDX5vUeCff3DWPyvpGhBBECdosk94Sj5wzkcue+4bvC6pMIZRA\njIhQR3pLCSGYMiSVZVsKEQIGp0W+mfqyX83psCphIMY5t0fcwzq50lpd2OkTcqioczfrkRUuMY4o\ns0+a9bhDM+LZ+/DpAGw5VEVjkzTTmHNTenaKYHfQmRGsb4F8IcQwIYQTuAB427qBEMKa9Hg6sKOl\nHerKT+8Ac/VV84At+uO3gUv1x+cAn0gZ4hOuUCgUiv7GcCnlZVLKvwE/AaYBZ0TQuToRrRZ4kpTy\nKNqYXRGM7KQYympdZg1WZ0gJR4IzJubwyrcHTOnmxz/aTpwzypzxbg9GBMlopmxlbE7b5L3PmzaI\na+eObNNrjGjMnpJanHYbcc4ov0hUMFVAa2qWNe2uqxwsw3nJSwltgGclxZCf3TldCTISorlx3ijz\nOMEYo793Z0zsmALmMbq8tt0mzAhLJMnPTmzWK6yj2PUaptPbce5WAZPW6sJsNsElxw7tUG884/OX\nHmJSxxCP+WiLplqb28I911/ptAiWXge1BFgKRAH/kFJuFkI8CKyRUr4NLBFCzAca0WYWDQcJIcRe\nIAlwCiHOAk6RUm5BSyX8pxDiD0AxcLn+kr/r63cCZWgOnUKhUCgUoP3OACClbBJC7JFSVkdw/78A\nHpZSuvRjFLWyfaukxTsprXUT67STFu/0U/HqSVwzZwRvflfAmn1lDEqLo7CqgTEDEhneAQPVSBHc\nU+LvYP35winMGZUR7CURJSnWgRCaqEZWYjRCCFoLmlmNTGuErT39ntrDxLxk7l84rs19giLJvLFZ\nPLp4ImdODu5EzByezpr/md/h/m0njcniofe20tjUe+bRr507koEpsZzdjvfHOrnSFSmnSTF2iqtd\npIeY1JmQm0xOcgzvbDgEwEAVwWpGZ6YIIqV8H3g/YN29lsc3tPDaoSHW7wPmBFnfAJzb3rEqFAqF\nok8zSQhhKNcKIFZfFmgJEh21gkcBs4UQv0FTwL1FSvltR3aYHu/kcGUDrkavqZzWExmZlUCcM4oN\nByo5++g8ql2eDjfWTdYjQLuLa4lzRlHn1uTZT5+Y0+HxhkOUTZAU46CyvtFMFwS487QxIQU2QhmZ\nVqn4zkQIwWXHD+uSY7U0hvOmt5yaFonm2MMzEzhvWh7zxvaeXn8DU2LbHEk1MJo1X3fiiIinLgaj\ntQiWPcrGosm5/PWzXUTZRI+NrncnrTpYQoh0KaWqZVIoFApFr0VK2WFNcyHEciBY3tvdaL+nacBM\nYDpav63hganqbVGyTU9w8vE2LRB24TE9V/U2yiY4amCSKZtd09DoJ/LQHowIlrvJy5icZDYerDTT\nwrqKlDjNwUqO8zmL15wwIuT21j5TVrqiyXB/5NFzJnX3ELqMAckxbHnw1E5JhwyGMamQEhd6osTo\n8dXklRETSulLhPNOfSWEWA88B3yg6poUCoVC0R+RUs4P9ZwQ4hfAm/pv5DdCCC+QgZbKbt3H08DT\nANOmTWvx99Sa/tSepqFdSU5yLBsOVgCaomBH5a2tjXJT45ysvvOkDkfF2kpKrIN9QGoLRmYgp4zL\nNmvEPr1lLo52SpErFIF0lXMFWl3lJ9uKaGluoKsis72VcN6tUcB8tAa/fxJCvAY8L6Xc3qkjUygU\nCoWi9/AWcCKwQggxCk2hsKTll7SMoaQnhGbw9GTS4p3sK63jgXc2U+tq6rA6XbTdhjPKhrvJS2KM\nnZzkrpeBTjFm8WPDT396+qfTzMdDe3Bap0LREmdNzkVKraYuFMNbaRbe32n1G1CfjVsGLNNVkv4P\nuFYIsQG4Q0q5usUdKBQKhULR9/kH8A8hxPeAG7i0oxkfty0Yw4KjBvj1WuqpGHLOz325F+h4byIh\nBEmxdkpq3H4NcrsSo7ePyn5S9DdsNhGyOa9BnNPOHaeNYUYXp+72FsKqwQIuBi4BCoHr0STRJ6P1\noereikqFQqFQKLoZKaUb7bcyYiRE23uFcwWQFtAXKjEC/ZWSYhyU1Lg7nG7YXn567BBe/mZ/l8ms\nKxS9jZ+3UJPY3wnnW2s1WoPGs6SUBy3r1wgh/to5w1IoFAqFQtFbSE/wT6PraAQLMPv4JER3be2V\nwdicJJb9ag6DOqGRrUKh6NuE8w04OlSag5TykQiPR6FQKBQKRS8jUKY5ElEnQ32vu1IEgU5ryqtQ\nKPo24cjbfCSESDEWhBCpQoilnTgmhUKhUCgUvYg4p78KfiQiWIb0cyT2pVAoFF1JOA5WppSywliQ\nUpYDoWVFFAqFQqFQ9CvG5STxm7PHm8tJEXCKDInoSNRzKRQKRVcSzrdWkxBisJRyP4AQYgigemEp\nFAqFQqEAtGjTRccMYU5+Jks3H2HyoNSO71P/ryJYCoWitxHOt9bdwEohxGdo33ez0bvQKxQKhUKh\nUBgMSovjytnDI7Ivm54i6IxSzXoVCkXvIpw+WB8KIaYAM/VVN0opO9Q8UaFQKBQKhaIlDAdLpcwo\nFIreRrjTQtFAGVAFjBNCzOm8ISkUCoVCoejv/O+Px3PKuGwmD0ppfWOFQqHoQYTTaPgR4HxgM+DV\nV0vg804cl0KhUCgUin7MyKxEnv7ptO4ehkKhULSZcGqwzkLrheXq7MEoFAqFQqFQKBQKRW8mnBTB\n3UD3tFFXKBQKhUKhUCgUil5EOBGsOmC9EOJjwIxiSSl/2WmjUigUCoVCoVAoFIpeSDgO1tv6n0Kh\nUCgUCoVCoVAoWiAcmfYXhBCxwGAp5Q9dMCaFQqFQKPo8a9euLRFC7OvucXQSGUB/a+mizrl/oM65\nf5ABDGnvi8NREVwI/BZwAsOEEJOBB6WUZ7b3oAqFQqFQ9HeklJndPYbOQgixRkrZryQA1Tn3D9Q5\n9w/0cx7a3teHI3JxPzADqACQUq4HItOmXaFQKBQKhUKhUCj6EOE4WI1SysqAdd6gWyoUCoVCoVAo\nFApFPyYckYvNQogLgSghRD7wS2BV5w5LoVAoFApFL+bp7h5AN6DOuX+gzrl/0KFzFlLKljcQIg64\nGzgFEMBS4NdSyoaOHLgnMG3aNLlmzZruHoZCoVAogiCEWNvf8v4VCoVC0fsJR0WwDs3Burvzh6NQ\nKBSdRP0RiMkGIbp7JAqFQqFQKPow4agIrgCahbmklCd1yogUCoUi0my4Gzb/L4y/Dybe392jUSgU\nCoVC0YcJR+TiFuBW/e8eYD0QVl6dEGKBEOIHIcROIcQdQZ6/SQixRQixUQjxsRBiiOW5wUKIj4QQ\nW/Vthurr/y6E2KC/5nUhRIK+/udCiE1CiPVCiJVCiHHhjLFdlK2FxupO271CoYggUmrOFUDxyu4d\ni0LRRxBC/EMIUSSE+N6yLk0IsUwIsUP/n6qvF0KIP+m2wEYhxJTuG3n7EEIMEkKs0O2RzUKIG/T1\nffmcY4QQ3+g212YhxAP6+mFCiK/1c3tVCOHU10fryzv154d25/g7ghAiSgixTgjxrr7cp89ZCLHX\nYkOv0df12XsbQAiRovsR23Rf49hInnOrDpaUcq3l70sp5U3AMWEMPAr4M3AaMA74SRCnZx0wTUo5\nEXgdeNTy3IvAY1LKsWgy8UX6+l9JKSfpr9kPLNHXvySlnCClnKzv53etjbFdHP4IPpwGy47vlN2H\nzf434IvF0FjTvePob9QfgSJlpPcqvG7f48KP4Z1RUPJ1941HoegbPA8sCFh3B/CxlDIf+FhfBs0O\nyNf/rgae6qIxRhIPcLOUchwwE7hOt2n68jm7gJOklJOAycACIcRM4BHg91LKkUA5cIW+/RVAub7+\n9/p2vZUbgK2W5f5wzidKKSdb6l778r0N8EfgQynlGGAS2vsdsXNu1cHSvTnjL0MIcSowIIyBzwB2\nSil3SyndwCvAIusGUsoVeo0XwFdAnn7McYBdSrlM367G2E5KWaVvI4BY9PRFY71OPEHSGiPCwbe0\n/xWbOmX3YbPyHDjwJux+rnvH0d94ZyQsnw1l67p7JIpwaar3X67eAasu7J6xKBR9BCnl50BZwOpF\nwAv64xeAsyzrX5QaXwEpQoicrhlpZJBSHpZSfqc/rkYzxnLp2+cspZTGLK5D/5PASWiT4tD8nI1r\n8TowT7fVehVCiDzgdOBZfVnQx885BH323hZCJANzgL8DSCndUsoKInjO4aQIrkVLCVwLrAZuxue5\nt0QucMCyfFBfF4orgA/0x6OACiHEm3qI9jE9IgaAEOI54AgwBnjCsv46IcQutAjWL4MdRAhxtRBi\njRBiTXFxcRinEYBsavtrIo1V+dHr6r5x9Ec8tdr/8vXdOw5F+AQ6WADu8q4fhyI4DcXwwdGw6QH/\n7zZFbyRbSnlYf3wEyNYft9Ue6NHoaWBHA1/Tx89ZT5Vbj5ZFtAzYBVRIKT36JtbzMs9Zf74SSO/a\nEUeEPwC34ev5mk7fP2cJfCSEWCuEuFpf15fv7WFAMfCc7mc8K4SIJ4LnHE6K4DAp5XD9f76U8hQp\nZURzpIQQFwPTgMf0VXZgNlr913RgOHCZZUyXAwPRZpDOt6z/s5RyBHA78D8hzudpKeU0KeW0zMzM\ntg+2JzhYDYWWhXB8ZEVEsKZjRsV23zgUbcNTF2RlX5lg7AMc+kCbsNh0PxR93t2jUUQIqfWA6XMe\ns9Dqvt8AbgzInOmT5yylbNJLL/LQMpPGdPOQOhUhxBlAkZRybXePpYuZJaWcgpYKd50QYo71yT54\nb9uBKcBTUsqjgVp86YBAx885HBXBH7f0vJTyzRBPFQCDLMt5+rrA/c9Hk4A/QUpphGMOAuullLv1\nbd5Cy3n+u+W4TUKIV9BmGQLz5F6hs3JCvZ7Wt+lsqn7wPXaXdt84+hu1e3yPGyu7bxyKthEsgqXo\nOVRs8D2u2gLZJ3TfWBQdpVAIkSOlPKynzxi102HZAz0dIYQDzbn6l8X26dPnbCClrBCaqvSxaOlR\ndj1iYz0v45wPCiHsQDLQ24yU44EzhRA/AmKAJLRanb58zkgpC/T/RUKI/6A503353j4IHJRSGgXZ\nr6M5WBE753DCH1egOTYX6X/PAhcDC4EzWnjdt0C+rrziBC4A3rZuIIQ4GvgbcKaUsijgtSlCCCPE\ndBKwRVfxGKm/VgBnAtv05XzL608HdoRxbm2nJ0Sw6g76HrtKum8c/Y2a3b7HG+4CV6/7Du2fKAer\nZ1Ox0fe4/kj3jUMRCd4GLtUfXwr817L+p/pv+Eyg0pKG0yvQbY6/A1ullFYRrb58zplCiBT9cSxw\nMlrm0ArgHH2zwHM2rsU5wCd6FKDXIKW8U0qZJ6Ucima3fiKlvIg+fM5CiHghRKLxGDgF+J4+fG9L\nKY8AB4QQo/VV84AtRPCcW41goYXHxhk70j26P+tpei0N3iOEWAIsBaKAf0gpNwshHgTWSCnfRksJ\nTAD+rdcE7pdSnqlHp24BPta/1NYCz6Dl9bwghEjSH28AfqEfcokeDWtEU3i5lM6gJzhYTZaUJ2Xk\ndx1WB8tdBu+Nh7MPqca1PZ1gDlZTvVbvo9677scakfdLf1b0ZIQQLwNzgQwhxEHgPuBh4DUhxBXA\nPuA8ffP3gR8BO4E6oEX7oYdyPHAJsEmvSQK4i759zjloNlcU2oT8a1LKd4UQW4BXhBAPoalBG9lF\nfwf+KYTYiSaAckF3DLqTuJ2+e87ZwH90O9yOpsr9oRDiW/ruvQ1wPfAvPQi0G+08bETonEVrjrYQ\n4nsp5XjLsg3YaF3XW5k2bZpcsyasll4+Vp4H+/+tPb6wmyYptv0RvrtRe5w1F+av6J5x9DfWXA/b\nn/Rfd04FOJO7ZzyK8Dj0IXx6WvP1i0shOq3rx6PQnNvCTyBtKrw1CDx6fWPeWTDnP+ZmQoi1Fslg\nhUKhUCh6BeFEsD4VQiwFXtaXz0cLlfZPelwES6UIdhnWCJZBUz1ayrWix2JEsAaeAQlDfU5y4ccw\n+NxuG1a/puhT+GQ+2BzgbfStVxEshUKhUPQBwlERXAL8Fa0J1yTgaSnl9Z09sB6LVeSiu9Jsrapo\nDb0q7bV3E9TBCqZQp+hRGA6WIxGmPQGT9X7mh97vvjF1N00NWi+37voOq96l/bc6V6AcLIVCoVD0\nCcLV+P4OeE9K+StgqVEM1y8x+iBB9/WgCqzBaqwKva0iMkgJNXuarw8qAa6IGI3VULSyY46A8R4Z\n0vrp07X/1Ts7NrbezOdnwYdTfOnOXU1gHzKnnqpZsxu+/Al4e0CmgEKhUCgU7aRVB0sIcRWafOHf\n9FW5wFudOagejdXBamropjEEGPXGbHBfZffzUPpt9xzbVQrrboMt/8/nUMcO9D2vFOo6ly8vgOWz\nYe9L7d+H8R4ZDlas3huwrrepykaQw0u1/3v/r3uO7y7zX44b5Ptc7XsFSr7s+jEpFAqFQhEhwolg\nXYemnlMFIKXcAWR15qB6NB5Ls9nuMq4D09KCpa71FYq/hK8uh6Uzuuf4e1+CrY/Bhru1ZUcynHUA\nsvQefCqC1bkYaXzbn2j/PozPqV13sOJ0B6u+oPtS5HoKBe/A4WVte019ofYHWsr03pc04Z3KbeHv\nI9DBciaDzelb9rrbNiaFQqFQKHoQ4ThYLiml+WunN1Lrv1aJn4PVCRGsXX+HQ0tbGYNu1Bsz8T3F\nwao7BI2W67P+Tvh4PjR1wFiy9sjpDtwV/stRsSBsvmiIqsHqGmqDpGeGixnBitP+2+PAkaIZ8Uok\nBlacEv623iZ4dxT8Z4D2uT78Iay6SFM1XfUTbZuC9+GHPzX/7FhxBThYjhRIGBb6eYVC0SpCiHQh\nxHr974gQosCy7AzYttVyDyHEQaMPVpD1r1qWLxBCPBuhc3hICHFjJPalUHQn4agIfiaEuAuIFUKc\nDFwLvNO5w+rBWOudIulgfbtEm603DMmWJOANoz4uT5uF7wk1WA3F8FYuRKfD4hLN+NrysPZc2RrI\nPK59+3VXRm6M7cEb8B4bjpVhrKsIVicjAAkNRXDgLRh0Vtt3EViDBdpnp7JC+/zEZAZ/XX/CU6c5\nnq1uV+X7vilZ5d8YuP6IFtn67HRtubEaxt8dfD+BESxHMkz9Pbw9QltuKISmbqpxVSh6KVLKUmAy\ngBDifqBGSvlb6zZ6b1EhpTy1g4c7RggxWkr5Q+ubdg2Wc/N291gUinAiWHcAxcAm4Bq0Zlv/05mD\n6rFICY2WWdl1t0Rmv5462PHn8GfpDYPRKAzvCXVAFZu0/0bj4/J1vuc6EiVobGEWvCvwBFxbI83M\nMEZ7wrXvy1jr3Xa1c4I0sAYLfGmCva0Oy10J314X+ZrEL34c/vENDn/kH8Ftqofy9b7lBovz1Ww/\ngSIXKZAwHMbdri2v/aXP2VIoFB1CCDFSCPG9EOKvaKJlOdbolBDiHSHEWiHEZiHElWHu9nG0RsuB\nx/KLQAkhtgkh8ixj+Id+nBeFEKcKIVYJIXYIIaz97o4WQqzQ1//Msq87hBDfCCE2CiHuDXVubb5A\nCkUn0GIES+/e/YKU8mLgma4ZUg/GUw3WiZFIyTxXbm7b9oZRE52uL/cAI99muZWkhNJvfMt1B9q/\n35bSjLqCwGtrRrBUimCXYL3+h96Dkq8gY2bb9mFEXByWbJhYSx1WS+x8Vvvcj/lV247ZWWx9DHb8\nRfuLZKPz2v3hbWed8KjeAY4k33JTvX9KrzWd2krNbv8JGNAcLPBNGkHr741CoWgL44DLpJQ/B9CC\nPSaXSinLhBBxwBohxBtSyvJgO7HwMrBECDGsle2sjAbOA7ahOUMNUsrjhBCL0Sbzz9G3mwAcB/+f\nvfOOb6PI+/9nJNmWW5zu9DiEOJ2QQgglIUAC4Y7AUQMJHJ0AB3cH3EHugR/tuIfjCb08XHLAcXBH\nTR7q0ZNQElJIL05vjtPsOHGvkub3x+xoR6PZ1UqWbNmZ9+ul1662zI5XK3k+821oB2A1IeQ/AEYD\n6APgVDDXhs8JIacDKJb/No0mGbC1YFFK/QC6yL67xy2qwX48guRVcUZ27YZZsFoom6G/HlhwDlAw\nO7Q+mL/OtGQBwL75sd+nlhZY2kWw5aDUFEfebmy5Ymb07dSXsGWa4AoYtGAVWZ/XUAasuAVYfU+4\nxaWlqCtuehsq7xmnlmLRglVTFDrBEGgIFU5ixlWRdQq3QS54Uzs464dGo4mWnZTSlRb77iaErAOw\nFEAvAE7Mxz4wK9asKPqwg1JaYLjwFQBYYGzfACBPOO4jSmkdpbQYwA8ATgFwHoALAKwBE2cnAsg3\njrf72zSaFsGJi+AeAEsIIf+PEHIPfyW4X8mJapAVD+tRhcKF2U40JYsFa/9nwOFFwNr7gN1vmtsb\ny0L7dHgRcHhh9O2v/S+g8D3zfUvUxpFdBN3aRbDZCNQD1Meyy539BdtWvpHF9kQDd1FN62xuc5Kq\nXXxm60qiu2ai8AoJXGOdtFBZlpxOZIhCrLYofIKhSigZ0ai4TmMVUGRU+Rhwu7k9ozdbihYsjUYT\nT5QzHoSQSQAmABhHKR0BYD0Ar8M23wBwLlj5Ho4PoWNLsS0xsDIgvA8g1KNK/nGjYFarxymlJxuv\nEymlbxj7LWZzNJqWw4nAOgDgM+PYbOF1/KEahFi5wUSDqg3ZchJyvCywWsiCRQWr1e5/musN5eHC\no7wgurYDflZ7KmRbCwS9R3IR1BasxMGFVEo20OFkoNNYZn0pXR5dO1wcicksMnqxpZ0bWvFic73o\no+RI6S6mMo/VmrXi9vBt/lpnSSVEC1btwfAEO6JgVf2uVe1kv1c5Q4C8a83tmYbAStMCS6NpZnIA\nHKWU1hJChoJZixxhZJh+AcDvhM17wNz5QAgZC6B3DH36FSEkjRDSBcB4ACsBfAXgJkJIptF2L0JI\nZ7tGNJqWxDIGixDioZT6KKWPNmeHkhpuwcoZasZN+arQ5LJgKlcaX621u4w/SZJcuFLU22ULViyo\nBGagHoCDTGfxJExgpbFl0IKlBVbC4IN3jxHnkzOMxfZVRZmyXWXB4i6CB79i9ZtyBoWfVyPEJa29\nH+h0CpB7dnTXjjeiaPnuAuCC1dG3sVcq2uzJYu02lAHpufbnNgoCi/rDE/PUHlD3lcMnqVI7ASlZ\n5nZuwco60f76Go0m3vwHwK2Gi+AWAFHOYOHvCE128QGAawgha4y2Yqkj8zOAL8DE2cOU0sNgMVeD\nACwz4scqAUyPoW2NplmwS3KxAsAoACCEvEgpvat5upTEcPeYDqMAEOauZBVnEA0qK0hrsGCJcVci\nogXL241lE4tWcPG/KbUjE3J1h1vm75SvyeNX3NpFMOH4BAsWwIQAEJ3V0F/P2iEelgqckyWEGOx9\nGzjpsfBzZffBI0uTQGAJvzexWLBUVjhvN6BqB/t9iySwZCt+5U7pAKF9lcDiv6Gp7QHiNrfzzyYz\nlslujUYjQyl9RFjfASN9u7Ctl/BWmbJdOka5nVJaC6Cb8L4awCSLbp0sHHeNqn+UUsss1ZTSZwA8\nY9euRpMs2LkIiilmzkh0R1oF3IKV2gHwZLJ1VZxBtHAryGn/AtoZM+ly7E/w2Abmmkc8gMcYeLbU\nIN/KPbKxzBQm3OUnWlc6fr7bC7gMq1FL1MWR7y13i0xGF8HD3wGr7wUCjS3dk/jQKAusGKyGovVK\nzJqVkg3k/9ZoTyHcC+cBpctCt6U10VIdD8TvXCwus/LzfN5S01LuJA6rUapLZ5eK3c6CldIeyB4I\ndDsPGHRv6GejE11oNBqNppVjJ7CSIOAgyQi6t+SYs+nr/gSU/NS0dvkgPb27OXC3smDxwaUnw6zJ\nlHQCS7BgxerGKNYuchsxsskQg8UTbfD01MXfAwsnA2VRptpPBAvOBrY8A2z735buSXyQXQRjydyo\ncg/kZOWxZaAhfN/iK8K30RZIsiIjfudimXAQRdTEL1nKe54i3Uk+0MkhAAAgAElEQVSmRDnboOp7\nTYx/K6rJpwbBguVyA+d8BYx6KvSYC9ZF7odGo9FoNEmMncAaZBRz2yCsryeEbCCEKPKKHwcExU2m\nacEq/h745gxgyYw4tJshWEYsBAkfXLozAJchPFrKRdDKPbKhLA4CS7Bg8binpHARNCxYPElC9R7g\n0LfA16c1a7dsORrnIrQthaUFK4pniYu01JzwfTxhhFOLXzwS2jQV8TsXy4QDF1HtBgE9DK+goMBy\nYsEy7gGR/nWEFHE23Px8VeEuiaKLoBWZvYFukyP3RaPRaDSaJMUuBmtws/WitcBFjzvDtGBx9r4N\nnP5W+MDDUbuCaApaa1q5BYvfK+4iGG0yCFFgcW/VZHIRzJBiRXyVrM9up9ltE0jtwZbuQXzw8QLB\n3IIVQ3FnLkjcmeH7eJIWlQWLk5JjusXFI96yKVTvZUk5OIEGJmBCC4ZaE/ABC89l66IbHp8E4dY+\nO/g98HYLTWiR1smsKZbW2YyZ9NeawhgIdRG0QxRsGo1Go9G0MizVAKV0r92rOTuZNPCBnTs9NANW\ncH+MQqc1WrDqStiAT4XKgmX191gRFFjpkUVnIgkTWIabmDeXxcGJ2BWtTTTiM2CXery5KFnC6p81\nBW7B8kgWrGhcBPkkgOr7GrRgKQQWj/u7ZD8w9MHQtlqKJVeHb7MThzJHljHhA5gWeMCsCVbr4Pnl\n98DbLXR7aidhvYOQkES6Z04sWEByTFRoNBqNRhMjMZhbjmNC4oIUM+KxJjyIyYKVaVqw6kuAmgPq\n42Nl038DK3+r3kcDwP91Bfb8W70/rjFYLZ3kQvoceOZElxtIlwaZsdYligdiIdz60pbrB+ebM4EF\n58Qu/iu2AWv+wNa5i6A7hiQXthYsCxdBfz1zvyMedk3+Obe0BevI0vBt5QXOvxei62itkJyCZ+6r\n3he5DX4P0ruHbhdj3FI7mqJYrpPVoAWWRqPRaNo+WmBFAx/0e6wsWDEKrFgsWOKxALDQKitqDFAK\nrHsA2PYiUHtY0V+pb53GAR2F2oSiBaupLoIurznYam5LHaXm39F9ClvmCbF2XmmQWV+CFqNO+Jwa\njrVsUVy/YFWRB9hO+eFic527CMbdgmXhItgouCYSYlp7WtqCxS1NIl+OAn74lbPzjwjlbcQaXxl9\n2HLv25E/Lz8XWNLkQppkweJ1xmok0aZdBDUajUZzHGAXgxWEEJIOoA+ldGuC+5PciDFYqlTCzWnB\ncmeEuqhVbI7t2irETGEqYSTP5A/9ExMg++YDP02XLFi8VleUFqyAGINl1J5q7iyC/HquVGD8fODY\nOqDzqeb+0c8C2+cABz5joqZFLVjCtamffUYqUdEciEKksQLwxpDevGKLud4kC5bRFzlmErB2EeQx\nV7w2U9DdrYUtWBm9TPdPXhwYAA5+6ez8BsGy2edKoV0hnnDjX4CRT4af669ndavEGCxOSrvQzzi1\nA5DZFyhZHO5GrF0EjytWrVrV1ePxvApgGPSErkbTlggA2Ojz+W4ePXp0Cw5+kpeIAosQMhXAUwBS\nAfQjhJwM4DFK6UWJ7lzSsPtfQMPR0BisvGvY4GHr8+ZxsViwAo1mXSt3anQWLKfB7dEiWq1UM9ry\nQNOTyfqeM4S9L1ls7kuLMQbLJ7hj8rinxVcCV/sT93fLiC6hngygi5QpsMsZ7LV2FlDwZMtasBok\nt8DGsvgKLEpZEgRvl8jH8gLBQHjdpFhoUgyW8ax6onARlDMPJosFi/cz9xyganf0/eEW4BNvBUbO\nNrdnCLVEd/49XGD5G4D5nYGsfmqBNWRW6GeS2sEsIly1J7Qt7SJ4XOHxeF7t1q3b4C5duhxzuVy6\n9ItG00YIBAKkpKRkyKFDh14FcPzogShwMqP0CICxAMoAgFK6FkC/BPYp+Vh6LbDqd2YSA3c6G2iO\nfi70uFgsWKJgAqKzYMnQQPTXVyG6mzVWhu8PE1jGAFg1aIo1Bku0YAXFA23e+KJGG+uHSJohOlrS\ngiUPtp3UNIqGDY+yuLvC+ZGPFZ+ZWF0ERVKkOljRTGTYfYZOXATFc1vagsXF6imvmKULOE7isLjA\n6n+z+bcBzOWZu8C2HxF+XvUe9nyVbRBisASBlXsukNHDfM8tWABQI1mwnLoIurTAaiMM69KlS4UW\nVxpN28LlctEuXbqUg1mnNQqcCKxGSqk8DX38/FgGhOKifHDvUYgbIDaBJQumYDFVi8GcLMjy7xL6\ndzT666uoEwLglRYs6e/MOoEtUxS1hvhArilp2ot/FPoTB4uIU/hnEMkSxN2jqvfE7ibaVOSirk5q\nGkXDxkdDl1b461iCi2A/Yvi85L7LdbCiucd+JxYspy6CLWzBCgq/HDPxC8dJBksxcYzMiL+wpUqY\ni665/loAJPS73n4YkC5YwVI7mgJLdBGkAeHeCgJPhUfHYLURXFpcaTRtE+O7rV1/LXByYzYRQqYD\ncBNCBhBCXgTwU4L7lRyUbQx1AeSuT1YB2P4YZrh9gtshAKTnsqVVLSNZkI15AWhnlCwThVFTqIvg\nIij/nTzAXTVoCtYuakKh4cF/FPrTnALLGFCrMtCJcAtW0ccs6UBLkGgLFictQjzV3vdCP6NYLFg1\nUpp5TxNisOwsWIRbsCQXQf78By1YmaFttRSiOOHikCMnk1Ahlj6Q4ZbmBsUkjfwZejJM0cvfi26G\nqR2AzDy2LgqsxkoAlH2ergje6dqCpdFoNJpWjBOBdReAoQDqAbwNoBzA7500TgiZQgjZSgjZQQiZ\npdh/DyGkgBCynhCygBDSV9j3JSGkjBDymXROP0LIcqPN9wghqcb2Zwkha43XNkJI06fwPx8OrLk3\nfLs4QDl3obkekwVLyEwImAHnVgMm2YIFmO468SowKwosnwMXQR4TJRdZJp7IMWVWiPFPQ/8kDHKT\n0YIlxCVVbG2+eljrHwI2Ps7W5c8kkgWrZAmw4bFQC60TIiWskN0k+eCcBoA6B4VsgdDnj53MFk3J\nIqgSWG6FBav2EEv0AACdjIQm3PVVJT5UHPgCOLbeeR+d4K9n/XSlsEkH2UXQSZHgkOLdEjxpj0qY\ny8+SJ5Pdm1HPAZMM63KYwDIyE1YXsusumQ5se8nYH8E90KqPGk0MuN3u0YMGDRrCX//1X//VLfJZ\n4Vx22WV5//jHPxTZraLnrbfear9q1argQ/773/++x0cffZRtd45Tpk6d2i8/P3/Io48+GlV2oSNH\njrj/+te/OgiybXtkZGSMbM7rTZs2ra/4+TeFxx9/vOsJJ5ww9KKLLoo6dOexxx7rWllZqS1QCcJJ\nFsFBlNIHADwQTcOEEDeAlwFMBlAE4GdCyCeU0gLhsDUAxlBKawghtwP4HwDTjH2zAWQAmCk1/SSA\nZyml7xJC/gbgJgCvUErvFq59F4DEfWFE95Xcs1lMw85XY0xyYQzu+Ix0JIGlisHiNWjiFZ9UISSL\njOQimCb9Hg/8HYvVGPUM2ycmCKCBcBFmhTgYdKexOI/9n8Tf9c0Ou8G5iGzVObIU6HNFYvrE8dUC\nG//M1gf/0ewrcbOkIJEsWNyNr91AoO80+2PFtOvc0iFDKRPajdLnwwXxqruBbS8A5y0LzcSoQhRY\nHUYC7YezddF9ll8vEo6SXAh/3+bZLIV5h1HAgNvYtrTObLKg4Si7F+7U8LY4ZRuA737B1id+CfQ4\nP3IfnSBarwgJdxF0UsKAT1qorEMp2ey76atiFj0enyZem+POZH0Y9Dtzm1gHixcH9+ayz3L7K8De\nd8z9TgRWVj+g+wUAvoh8rEZjQ1paWmDLli0FkY+MLz6fDx6Peoj10Ucftff5fOWjR4+uA4Dnnnsu\nLoUsCwsLPatWrco6cODAhmjPLS0tdb/22mtdZ82a5ThbU2NjI1JSUiIfeJwR6b689957ey13Rslr\nr73W5Ysvvtg+aNCgKKrOM+bMmZN7yy23HM3OznYcwG/3XGtCcXKXniaEdAMwD8B7lNKNDtseC2AH\npXQXABBC3gVwMYDgDx2ldJFw/DIA1wj7FhBCJooNEkIIgHMATDc2/RMsCccr0rWvBvCww35Gj5xg\nwh3DzDqHB6fzAVNGhKKfXPCIA0buyqSyNsXCsXXh1xMRrSXnSd6icuIPgA3KG46yYrjcBTIS8mw7\nj/mIZMHa+x6QM5TFhQBsIF78A9BhROjATh5EqrAbnIvImfWOrk68wBKFTO0Bs68ZvVksWGMZULqS\n/c3ZJ1q3U11ovS/YvuCyR33h+1fMBHbMBfpeFW5J48/PthfYcuOfgYmfwRYusPLvBMa8aG53p5rp\nyRvL1KUSZOxEsspFkFsfB/7OfD6Ii4mF2v3MDZdbZ1SULDHXv5sCjPhvZoFtKg1SXFhYkgsnAss4\nRhXfRFzsftaXMnEuWipVFqyw8wmQdy0rF8Gft8y+7LMsl8a2kRJcAED389gLzZQxVJNwbrwRvTdu\nhEUAc2wMG4aa11+HA//YUEpLS92jR48e/PHHH28fMWJE/dSpU/tNnDix8t577z2SkZExcsaMGSVL\nlizJzsnJ8c+fP39Xjx49Qn74Pv744+xZs2b19vv9GDFiRM2bb765Nz09nfbs2XP41VdffWTRokXt\nZs6cWVxZWen+xz/+0aWxsZHk5eXVz5s3b/eyZcvSv/322/bLli3LfvLJJ7vPnz9/50MPPdT9wgsv\nLL/hhhuO2bV95ZVXln711Vc5Pp+PvPfee7tGjhwZ8sWfNGlS/tGjR1MGDRo05LnnnivctGmTV75+\ndnZ2YN++fZ4bb7yxb2FhYRoAvPTSS3uff/753H379qUNGjRoyFlnnVXxyiuvFN1+++29Fi5cmEMI\noX/84x8P3nLLLcc+++yz7D//+c/du3bt2lhQUJCxc+fOTU37FE1u/PjG3huLN8b3Gek6rOb1i1+P\n+hk5cOCA54Ybbui7f//+VAB45plnCs8777zqRYsWZdx999196uvrXV6vN/DGG2/sHjFiRP0LL7zQ\n6Ysvvsipr6931dTUuB588MGDjz32WI+OHTs2bt26NX348OE1H3300W6Xy4WxY8cOfOqpp/ZNmDCh\nJiMjY+RNN91U/PXXX+d4vd7AZ599tqN3796+TZs2pU2fPr2f3+8nkyZNKp87d25uTU3NGrGP06dP\n71NUVJR20UUXnThjxowjEyZMqFL1zefz4Y477ui1aNGiHEIIve66645QSlFcXJxy1lln5Xfo0MG3\nfPnybXPmzOn49NNPd6OUkkmTJpW98sor+wFm4bv11lsPL1y4sN3s2bOLzj///Bb2l28dRDQnUErP\nBnA2gBIAcwghGwghDzpouycQ8sNXZGyz4iZEnq7sBKCM0uAoL6xNw82wH4CFSAgkPP6BDzhismAZ\nAosPmFI7MMHmq1QnCOBWKnHG2GMIrHhkbGusAqp2Cu9tXAQH3GE/eOdEssqpEF0EATNltl3ShOLF\nwJKrmGsnp/B9YMFEYOF55rbD3wMftAN2vgZ8MwH4+gx1YV6nFizZnak5Mh2Kg96aIrOv3FWrcgfw\n1SnApwPCzxX/1kgiEwi1hqli6XbMZcu97wL7Pw3dJwviql2Rr8cFllchxnkB2x8vBwIKsScT/AwV\nokDlIsifd7FwLuDcDbd0Rej7TU/EluhDRn4W5YyhkQQWpWZmTtn6xUmxcBOUrZJWEw6nvwlM+dmM\nr+KJLuR75sSCpdHEifr6epfoIvj3v/+9Q6dOnfzPPvts4XXXXddv7ty5HcrKyjz33nvvEQCora11\njRo1qqagoGDzGWecUTlr1qweYns1NTVk5syZ/d57772d27ZtK/D5fJg9e3Zwls3r9QZWrVq19dZb\nbz02Y8aMYxs3bty8devWgoEDB9a+8MILnSdPnlw9adKksscff7xoy5YtBUOHDq132nbnzp19BQUF\nm2+88caSv/71r2E/kJ9++umO3r1712/ZsqVgypQpVarrA8Btt93WZ/z48ZVbt24t2LRpU8GoUaPq\nnn766SJ+7pw5c4refPPN9hs2bEjfvHnzpgULFmx76KGHeu3duzcFANavX585e/bs/fEUV8nGzJkz\ne99zzz2HN27cuPnDDz/cedttt+UBwIgRI+p+/vnnLZs3by54+OGH9993331B/+jVq1dnvfPOO7uX\nLVu2DQA2b96c/vLLL+/bsWPHpsLCwrRvvvkmbDBRW1vrOu2006q2bt1acNppp1W9+OKLXQDgzjvv\n7H3HHXcUb9y4cXOPHj0a5fMA4O233y7s2rVr4/fff7/t4YcfLrbq29NPP92lsLAwtaCgYNO2bdsK\nbr755tIHH3ywmJ+7fPnybXv27El55JFHen733XfbCgoKNq1Zsybzrbfeas/7OGzYsNr169dv0eLK\nOY7sfJTSQwBeIIQsAnAfgIcAPB6vThBCrgEwBsBZcWjuKgDzKKXK4BJCyK0AbgWAPn1sZqKtcKeH\nuybZxYZQCvx8O3N5GXJ/+H7ZRZAQIL07Ezl1xaaw4AQFljAATImjwKrei5AkkUUfAaOfCT3GLjOb\niozeQNk6JrA6jXF2jpz8w4kF69ja8G27/8WWR382t635AxuQLr/Z3Kaq8WQ3OLfDaaxOUxAHwTVF\nggXL+K0vFwzNsjudmBBDzqCnQnyunVhKRORn0pHAMpK1qARWek/mwnp4IXDgc6BXhPIbdnF0KhdB\nbgVOkcIhvN3ZslZKwCFCKXDoW+n6lcyC2muqfT8jISeokO9rpCQy1Ge46HqsE0ykdQSqwL4Lgf7M\n3ZQQRVbHCBkAg+0J2TVFnFgeNW2OWCxN8cDKRfCSSy6peP/99zvcd999fVetWhUUCi6XCzfffPNR\nALjxxhtLL7300pBZxHXr1nl79epVf9JJJ9UDwPXXX1/68ssvdwVQDAC//vWvgz/Oq1atSn/ooYd6\nVlZWuqurq91nnXWW7WxLpLanT59+DADGjh1b88knn0T8Illd/6effsqeN2/ebgDweDzo1KmT/8iR\nI27x3B9//DH7yiuvPOrxeNC7d2/fqaeeWrV48eKMnJycwEknnVQdi0taJGKxNCWKJUuWtNu+fXvQ\n3F9VVeUuLy93HT161D1t2rR+e/bs8RJCaGNjY/Cf6/jx4ytyc3ODY8/hw4dX9+/fvxEAhg4dWrNz\n584w//KUlBR61VVXlQPA6NGjq7/99tt2ALBmzZqsr7/+egcA3HzzzaWPPPJIL/lcGau+LVy4sN1t\nt91Wwt0WxT5yFi9enDlu3LhKbq2dNm3a0e+//z7r2muvLXO73bj++usTlDmr7RLRgkUIGUwIeYQQ\nsgEAzyAY8YMGsB9Ab+F9L2Ob3P4ksPiuiyilkYq5lAJoTwjhIwRVm1cBeAcWUErnUkrHUErHdOkS\nQzynKkW7nYtg2XpgxxxWjFaF7CII2IsJHsyeKIElZ6Or3g28TYCSpcIxNrW4VGRGYcGqKWIFhfe8\nxd7zga4TgaWyINYralOp4ohUA+egi2CUBXsTlcFv97+BL0YDNQciW7DERBvifSn6hFnvoumrOHiP\nOhskT8pifI6B+siWp1obgSVaP5ykTY/WRVCugcXhrq0/XhYakyZStt58xntcCHQaa7QZBwtWQHKZ\nDRNYEYSvXYp2Drc4Fc4H3s8C1huOCnL/ZfFpBf+NEi3iAIv702haGL/fj23btnm9Xm+gtLTUcrKZ\nRFnYXoxnufXWW/u99NJLhdu2bSu4//77D9TX1zcpoYDX66UA4PF4qM/ni9ixeF+fk5GREaeim8kL\npRSrV6/evGXLloItW7YUFBcXr8/JyQncf//9Pc8666zK7du3b/r00093NDQ0BO+pfF/S0tKCs9Vu\ntxuqz8zj8VCXy8XXlcc4xa5vTSE1NTWg466ix8nNfx2syPD5lNKJlNJXKKVOKqr+DGCAkfUvFUz4\nfCIeQAgZCWAOmLiK2CallAJYBOByY9N1AD4W2hsEoAOApeFnxwnV4JzHNKjStEfKKCdbsABzECm7\n5gBm0V3RRTCuAsv4G/jgkPPT9PBjorFgAeECq64YWHBOaPHa3W8ChR+Y7+UixlueAQ58ZdF3hcBS\nFf9NVySRUn1O0ViwxIFrw1Fg91tA4bzI50XD0muAY6uBjY+FPhsVW4QCsIbAErPKiSJq1+uhbcZD\nYMn3J1NIZsT7JSY3qdxmf73KHWzJ66uJiMLSScITu2fVzkXQI4mIdoPMdSsr1tFVbNl3OjDxU6DD\nyUYf4hAbGcmCZVWY3Op8FVn92XLrs0wIb/pvFqMnPyOOLVidQ6/NURUz1miamcceeyw3Pz+/7o03\n3th144035tXX1xMACAQC4NkC33jjjU5jx44N+QKPGDGibv/+/akbN25MA4A333yz0/jx45Vf8pqa\nGlefPn0a6+vrybvvvhscPGRlZfkrKirCxl/RtO0Eq+ufccYZldz10OfzobS01J2Tk+Ovrq4O9mnC\nhAmV8+bN6+jz+XDgwAHPihUrssaPH9/C1dabjzPPPLPiiSeeCAaj/vTTT+kAUFFR4e7Vq1cDAMyZ\nM6ez1flN5eSTT6564403OgDA66+/bpFdKhSrvp177rkVc+bM6dzYyCYTDx8+7AaAzMxMf3l5uQsA\nxo8fX718+fLsgwcPenw+Hz744IOOEydO1O6ATcBJDNZplNLnKKVRZbkx4qTuBPAVgM0A3qeUbiKE\nPEYI4X49swFkAfjASK8eFGCEkB8BfADgXEJIESGEp+O6H8A9hJAdYDFZrwmXvQrAu4YQSwz9fh2+\njVufVO5WtcJtU818yzFYgGmtsYvBSk2ABau+FFh+E1tP6wwME/KEhLhRRSmw0g0XdjkWY/NTwOFF\nwGJDL+95G1gnJavklocMwZ1zxa3q64iWmuIfgaXXhbsnAeHxK4CFwIrCgnXBemCgUb2gZj+w9NfA\n4itMC2U8ob5QcbHnX6aVIENhXBYHyHL6cCfujCECSzGQl71xT7gemLyYrfOMf6K1yS6Fub+BWU1B\n1PF9vOYbELnuW8BvFsZVCYtoXAQH/EY4xuJ/DhfzGcbzzkWaKo4xWmQLlGxVsiqDQAPA0uvZxIR4\nvgqVoD2yNPx763EqsDqpt7c/ydn5Gk0ckGOw7rjjjp7r1q1Le+uttzr/7//+774pU6ZUjRs3rnLW\nrFndASA9PT2wadOm9KFDhw7+4Ycfsp944omQL0BGRgb929/+tueKK67on5+fP8TlcuEPf/iDMvPe\nrFmzDowdO3bw+PHj8wcMGBD88ZwxY8bRF154odvgwYOHbNq0KS2Wtp1gdf1XXnml8Pvvv8/Oz88f\nMmzYsCFr1qzxduvWzT969OiqAQMGDJ05c2ava6+9tmzo0KG1gwcPHjpx4sT8Rx99tKhPnz4OAl9b\nH3V1da7c3NyT+OuRRx7JnTt37r7Vq1dn5ufnD+nfv//Ql156qQsA3H///YceeeSRXqNGjRrk90dZ\n5iQKXnzxxX0vvvhi7vDhwwcfPHgwJSsrK+LFrPp29913l/Tq1ath0KBBQwcOHDjktdde6wgA1113\n3ZEpU6bkn3rqqfl9+/ZtfPjhh/efddZZ+YMHDx46YsSI6muuuaYZ0za3PezM4u9TSq80XANFwULA\njEkR/0tSSj8H8Lm07SFhfZLNueMttu8Cy1Co2vdIpD45RjUIB4C86eHbuMBSDaardpvr/urwFM8q\nF0ErC5avhg20XKnqLIJNFViLppiCxJMJZOWZ+0SLWVB4OHQR5K5ecn0j2VXspxnh5/KBbvfJwBnv\nAUumMUuYKgugKBaW3xxqKREHlqr7ZGvBciCw2g0Ahj8CbH0OqBf+H1ZsNi0Z8cKVFiqaAg2mSLAT\nWI0VhngRqHcgsEJisKSBPKXhz703V0jPX81EmSjCKmwyJlftYsdm5qnFwEmPAjvnss8/rF6WhF94\nTlXlAaJxEfSks9pPpcvNgsP7P2cp5LkLLBdYPPYoJZ4CK4KLoJUF6+hqYPc/zfe2Aqt/+Laq3eHf\nDacugqkKgdXrYvUzqtEkCL/fv0q1fdeuXcG4q1dffTXkIX/++ecPAAiZVJ4/f/4evn7xxRdXXnzx\nxWE/ZPv37w9Jj37//feX3H///WEC6bzzzqsWE0RE2/aECRNqVqxYsVU+ZuDAgQ3bt28Ptmt1/d69\ne/sWLFiwU97+6aefhvyDmDNnThFYMrEgF154YeWFF14Yp5TFyUEgEFA+I//5z3/CgoYnTZpUvWfP\nnmCQs/Gs4Le//W0pWBgLgPD79OabbwZT9oqfnZgZ8IYbbjh2ww03HAOAvLy8xrVr125xuVyYO3du\nh+HDhyuth+JzYdW3lJQU/oyHfJYPPPBA8QMPPBB085k5c+bRmTNnhg0K5OyFGmfYWbB4kZMLAUwV\nXvx928Yq+D8zL3ybytWII1pQ5BTW4jmiiyC3YC2/mcXbcMQMgqJfeDwEFqXA0ZXme0+m6drHr8kJ\nxtU4tWAZLnmHvmWZ/oJtOrB688EccQF9r2QJQEDNOB2ROuH/SOX20H1iYL0qJkYlsILuYg7/Tl5L\nSERMeR8vXGlq91HAzLInwgVW+Ra2bD+C1aMCmm7Bon6Ezr+ACSwxLlF2kas/yiwuu/8VLvC4KM7O\nV/clrRNwuhFiGUlgRbJAcoHOE0D4DaFKPOpMe7wdXxVwaAHw/S+B/wgWNS6sebIUbsGKq4ugIZAG\n/pYt+XNtFYMlT0LYuQh2HMXSsxMX0M3Iulm1K9wl0rGLoCSwJnwMTPjIWf0yjUajOY5ZsmRJxuDB\ng4fk5+cPmTt3btfnn38+QryJJtmwFFiUUm4Wv4NSuld8AbijebrXgqgGLJl91YMDOxdB0Y2pUeFa\npHIRFAP5tzxtrvPBsJyFK1gHqwkCK6yYaEaoW17ldmDby2y2nw9c3Q6Fh5is4FvBMCkOYhsr1DPb\n8uA4XZHEgSNajuRBvyhgVUJUNVjnIs2u7pEIryUkUibVewwos61GhztNHX/k7Wq4Y0rPKBdY/FnM\n6GmKADuB5atldZ38NhYs1TMvWrD81eEudY1lLIHC0muZGzfx9NkAACAASURBVKUI/1xF66mqfQCo\njSCwGiNYIAkxBUigUXAPbKf+nqcIAqvEqP8mTprw5y8hFiypbMHI2cCkH4FRzxr7LQSW/PnYWbBS\n2wMXFwKXlwED72LbSleEP7PRxmBFe55G04Lo2XpNMjBlypSqrVu3Fmzbtq1g5cqVW4cNG5aAeANN\nInGS5GKyYtsF8e5I0iG7PQ17GDhvufpYPnhXuQiKyQZUsRt2WQTFtgHrGfl4WLDk2k2eTOb2duJt\n7H3NPmDlncDWF6KPwUqzyNYoDtZr9rMU3DJysgEuwmptXPpUhLiBKSxYKvdFXiA1Z5h1uzLyoFJs\nd887wPvZwIEvnbcX7I/gYudKUQusDqMMkSfVGWo4BpT+DBz6hr335prJWuxcBJdMA745E9j1D3Nb\nmMBSPPPpkougLDAayoF9RmKTw1K5Om4t4XF7KrhlpDFCgg4nSUpEN8Gge6CFC1zQgqWyRPtMcZhI\nC5bLEEiuFKDrmWZfrbI7RiOwACbeU7LNRCVlCgus/J20Qv4uOJ2o0LQlAoFAQJssNZo2iPHdbvMZ\nJWPFUmARQm434q8GEkLWC6/dAGyi1NsI8sBxwO1mqmYZVbA8RxQuTl0ERbce0fpj5ZqX1onVrKk9\nqB54B3yR0zirBBYADL43dHvpiuhjsKzq7oiWkZoic5DY+zJzuxyzpkpDHmzPZoJH/DyVFiwp22Dl\ndnZOZt/wWmR2dBgd+n7Pv4APe7IMcz9NZ21aJemwQ7ROBhpMF8H07ub2jqPYMktKDlF7APhqLLDt\nJfbe282w0rjY4N/KqsaLBpcL4QDyc8QTtxDhM5ZdBGWB1VimLuzM+wqoxTbHqWVo45/Z0i6GTvzu\nWmUQ5PB2yjeGJq+pOwJ83BcoN0If+IQC72fhB2aGwViRXQSD/feG7g87T/pO2LkIithZEJ1aolKy\ngFNfB0b8BThngTqJhqats7GkpCRHiyyNpm0RCARISUlJDoCNEQ8+TrFLbP82gC8APAFALOJUSSlt\nhkqqLYw8MJFnY0W4e58syiiVBJZDF0FxsC8OfoOueZKw8WQCXc5gBU0PfgX0nRa6f/lNQOH7wNTt\n1gHmoqVNvEbYYIpGH4MlQwPG4F4QWI0VpsCyGxB7u6r7C6itKRwuBCi1qC9WHFqQt8KIV2o3xLpN\nFV1OB/a+Hbqt9gDwpVBg2ekgV0TMKOmrNd3+0nuYWd54HaPs/qGFlY9IVQu8uaY7Y30pa8vbNfQY\nq/TtVi6C3q4slomkmM8F8RgZD4+a1607bNx/C4FV48CCJcZCWVF7GCj60OiHzdjOnQo0Gn+HVQZB\n+boFT4Zu3zzbFFzEbd5LsZ2Fk4HLm/CzaZVmPVgiwqGLoNPvrCeTTdzw36+8GcCef7N1p0kuAKD/\nDc6P1bQ5fD7fzYcOHXr10KFDw+DMY0aj0bQOAgA2+ny+m1u6I8mKpcCilJYDKAdwNQAQQroC8ALI\nIoRkUUoLrc5tE8hZuVxu9XGA2oLVWAHs+HvooF8psBQWrLwZrNYREDqgtXPNy53EBNbRlaECy1/H\naksBwKGFwAmKNPOAWV+Lw6+RIllvKI3eRRAAzl0ELDibrTdWMDc20YLlqxYElk27dinsnViw/HWK\nmJIcNuhvOGYm3qjey5bRzrr3uIC5e9qJPdmFzwliUotAnWmpTO8BwLCO8HsjC9SSJaHvuVU0tSMb\nQNcfDRdY5RaZ/vx1hkgtA76/CMg1PlO3F/jlJoSMoTyZ7L5yt7+MPkxgNZTBUmBxoaJK1hFsVxBY\noigWKROM7FV7rNsKuvfWRX6urYT/5v8x18f/n2nZFS1hTS0+bVUoOGjBcugi2Pty9XGRGPg7U2DF\nOrGiOe4YPXp0MYCLIh6o0Wg0bYyIpZkJIVMBPAOgB4BiAH3B6loNTWzXWhhxsC6LDBlVmvaff8Pc\nw0RULoKqGKx2+cDgP7A6USECy8ZyxAftcj2c4h/MdWIjEmUXQZ4Nz50WKhj2CcVzZUuaHbkT2QC7\nphA4sgzoMUVK/13tzIJlF29mJ2oCDYZFUVFSxJvLhEDdYUFg7WFLO1cpFVknAJceZjFrnw9XH2NV\nAsAOUVD66wQXQcHSw+/N0P8Cij5iBW+3vRDeVrogsAD14F+VkIWzeTazpJQsZi+ACRV58M8FVqWR\nDbjdQGZZayy3dsNzYsFyedi1/HXsmVG5qooCy6owMMA+r5oi5vbHhbeVgEiJkK6/18VAL2EsKT/H\nDcfCk6A4xcpF0B3BRVD8TgyZFW7dtkP8jnUcA3QczVxnswc4b0NjS+fOnWleXl5Ld0Oj0Wg0Clat\nWnWEUmqRSMCeiAILwOMAxgH4llI6khByNgyrVpuGD0zSOgNTt9kfK1uwGsrCxRXg3EUQMAeYSguW\nYkDJXYfkmezSFea63Sy67HIn1qhKaacWJtHOZHPXou8uAK7ySRasGlMcdp/MrAIqAcfFrsrNL1JR\n30CjOr27N5elB687zAbFR1eZAou73UVDak745ykSKb24CnGw668VLFhCDBYXWFn9gMtKmKDc+Wro\nfQZMq1xQYClc1+RzRAqeZHE1Iqq05vzzqzJKifDCwY0VajdJXw0Tjq4Ue5dcgAk0fx37Tqm+D+Wb\nzPX2FkIXADqfziYhVt4FDDcKa1tlx4xUD00WjbKYqj1kL7AOf8fc8lT9DUQQWFZ1sLhrbN/pwMlP\nWF9bRe65wMEvga4TmZVw8mL2G6ezAcaNvLw8rFy5MvKBGo1Go2l2CCF7Yz3XiU90I6W0FICLEOKi\nlC4CEOfKqUlAXXFozSk+WG8/PPKssxyDVW3hPVn8Y/g2lYsgoBZMfhsXJreFq5A4k1+21jq5gDzI\npoLAsvr7o40lColHqwy1YIkugl3PBiZ9D1wUVgcxdgsWwOKqvj6VrXc7D8j/LTDhk9BCyN+cCfx4\nCVD0MdumqnvmBLfX+v7UHbb+HKwQrZ91Jaz+lDsj1LoqD3wJMUWNCBeNaTYCS2VtnfAxu1cNR4Gf\nbw/dJz+/gPmc8uLG6T1NESIKZH4vggkuekSulcTFjlWiC/6sZQ8Azpxv3U4Xo2xA9R6g0LDOWiVv\niSSw5Ngkb2dW94ljFzN2bD1zof38JGD5LeHPh1UMFn8vW645wQkcxecTidPeAob9P2C8cf/cXi2u\nNBqNRqNxgBOBVUYIyQLwA4B/E0KeB+CLcE7roGYfS39duQP4sDvwUU+WzhoQ0iLbWCI4sgWLu295\nuwLtBpuD9H3zWMYxEZWLIKAeONnVn7KyYImFbne+xl4q5OyDogVGLhgKsMF9tAVDxZpgvqrQQXzD\nMQCUWS9cbqDrBLNAsUiqhQUr4DeK3gK4OgBMWR1+7qLzzPWMHsCY54FeU0MFVo0kjtsNdPSnKRGF\naaexQPuTjL42sEyC0dTE8osC65DZvigGVINf2Z1r+GPh/ZPdQwG1wPJksmyaKlQDeC6wuIugN9d0\nZRVd2rjwcJJBkJMSIdEFfz7GzmHlBqzoMcXMgFi+MbTfMrLAOmcBcML1wn6F22Ovi9mzDKjvKafw\nfXN956tAqVQSwioGy2pihWM1geMEb2fgpMecFQRv4xBCXieEFBNClBmzCOMFQsgOI9vuqObuo0aj\n0WiSBycC62IAtQDuBvAlgJ0ApiayU81GXTEb2JdvNuNieGHY4MxvhLoxQHihYR4v0/EU4MICYLKQ\nZKDuYOi5Vi6CKsEUjMGycxEUBq4BP1C1I/S4dbOghFuEevySJS7oJyTDUA04mxro3lgV6obGB/mR\nrGIeCwtWQBCqhAAdRwKnvhp6jOia5xHEiCiwRMZ/2LQZ+1RhYDrpB+AX61gsC8AG0Ttfd96WODjn\nWQNT24feL6XAEixYE78Ahj0o9M8Qzk5dBN3pzKJBFJ7FqokI7r7Is/OJ9bdEuBhyEn/FCVrCLCxY\nwZpWET4/4gKGPcTWeWITq2e70yksxX1aZ2DqDqDbOVIMXKT6WTYWrBLJui2XDbCMwYqQRdBqAkcT\nLW8AmGKz/wIAA4zXrQBeaYY+aTQajSZJiRiDRSkVp13/mcC+tAz1JaGDVz4wi2Zgwmfv+TncgsVn\n6zN6MAtG6Yrw5AHRuAjaZTnzKI6vPxKeUMHKzYkPcofcZ864c1wKkRmLwDrtX8DSa9i67CLIY8Ai\nCVpuwaraCXzSHzh3IXN5UwnV/jcBfa8G/jPUjKniiKKCZ9CrkGLtup8f8U+yJb27aRXh/Wo3iGV6\nBFj69OwTgW7nRm4r5Bk1PqvUjqECS2VBEQVGt0mhVkdumVSlvFdZW3h6d2/X0DpQgNpCIlv/0nPV\nsVUNx1j5ACcZBDmRRAu/R5ES1PB+hbRt8Wxn9AQu4enYjfsoCizL+llC0WUrKreHvpcttJZp2o3J\nFn+1OqNiUyxYmiCU0h8IIXk2h1wM4E1KKQWwjBDSnhDSnVJ60OYcbNsGTJ4cx45qNBqNJi409bfZ\nUmARQioRmkuZGO8JAEopbRvO+HXFoe5XXGAtncGWdskKOKokFwCQIqTj5gNCfi2e0c5KyKkEk53A\nktM1H1nG0sTLWA0e7Wb8VfeAxFDSpN8MYOffgeLv2cDYrxJYESxYYv+qdrFisqe+at7HsEx2GerB\nZe455jq3YIluWcP+n/kZxIoqQYZo5dj9T/aauoPVrgo0hhaZFlENznOGIOQrqiro3G0ysO4B5p4o\n7w8KLIcugryGmjfXmcDKlgRWWhe1u2ntIRbrGI0Fi9/HiALLwc+UV3JFtUpyAYQLGDFGL1YLVsMx\n0yrJqZesipZp2lPYK9DIfn/k7yr/TXLyO6ZpCj0B7BPeFxnbwgQWIeRWMCsX0tJOQo1NPhmNRqPR\nND9btwK7dzetDbs6WFFUk2zFyBashmMsxTq3/OQ6sC6IAotSU2ClKgQWt2CtfwjY9Li5X45hUSa5\nsEnTLhcc/fo0cx9xm/FJVl6hdjP+KqtSsL0oCbp2STFYTgWW28vuNx848mQAARuLozi47HwaMPiP\nQE8hnTYXWDXG+KjbZBZ70lRUAmvwfcB2yXto1xssjf2PlzPRNPFz01LHUQmeDiMix3F1OoXFo6n6\nwq1JSoGlchE07qM3N3yf0oKVL+xPY5+tUmAZY9Aaw0Uvo0/4MTL8+3RoAdBHqu1EqTBh4MCCJf89\n0Vhns/qH90lG/u7LlG0K3ybGK1LKslwCavHpzgAC5ez3IUxg8e+FtmAlC5TSuQDmAsCYMWPokiUR\nTtBoNBpNszJjBrBsWdPacGSGIIScSQi5wVjvTAjp17TLJhGywNr2ErD9f9l6akfrwrwixGXGpQQa\nTRdBcXAnuwmJ4gow42E4di6CqvTlVkkuAJZmmVNfHL4fiGDBkgSWtxsw6B51O5HgyQkajoamjXcq\nsOQ+uiT3TJXAErd1HA30viS0cLScCKKfg8/cCf1vZoJSTISQlQec+X7ocZseBxZOYs/NkZ+YVUtG\nJbDanxSaTt+KjiPViQrsXAT9Nu5syiyWivsuWndSOzDrj/ycA2ZcIo+BcpIan4vDHX8Ljz/ixaRd\nac4sN00SWHnmutWzy9uzuqflEQRW5XYmgr3d1FktuZugShQHXQS1BSvB7AfQW3jfy9im0Wg0mlYG\nIdEne5aJKLAIIQ8DuB/An4xNqQAURZ5aKXWSwApJTx5F9iwxVXswRkZhwVK5CaV3BzpIme+jjcES\ns4nJA84OI4CpRoxH/RGW/EIkZMZfIbBEV8eeFwGXHgQG/jb8OCdwCxavjcThiRCcCCzRCsJd6qyS\nhQChs/fczU3E25lZlgBgzMtAv2si98EJ6d2Ay4qBU6VkFioLkMixteHbZIGV3pOJxR6/AEBYtrpo\nCSa5cOgiyFGlfldZSMR4K/5cqWKweHmEaASW+PzJFjinCS44XqmGoFWadhXi5IOqdAAQ2YKlElii\nyyAv5tz5NHXmTreNwPJrC1Yz8QmAXxvZBMcBKI8Uf6XRaDSa5MTlagaBBeASABcBqAYASukBAG3H\nfbC+xDo2QnbTskO0pBxaaJzvUGANujd84CSnaacBoLyAratmscVsYnJ8jDeXDYrTurB2tjzDXKs4\n/hqjrlK6OgZoyP3MWnLKK6F1fWKB34cqI3W3HMsVqdYQwP4ODu+vnQVLFF1W4ubkJ4BfrLdOQx4r\nbm/4ZxtJYIm1yzii9cObC4x5ibXt7QxMq2EZD6OFi52aIuC7qaEp/LnAGvxH5mI66jlz34DfAIP/\nwPZxVAN4MeaLu5SK4phPKtQdZNerP8LaUaXnl8nsY8SgITwLYjQJLgCj5IDQ12gTuAy4gyX+6HGB\nen/wuy+JVn8D8O1EYNuL4eeIBbEPfcuWuWdbtG9jIdNJLuICIeQdAEsBDCSEFBFCbiKE3EYIuc04\n5HMAuwDsAPB3AHe0UFc1Go1G00TiYcGKmEUQQAOllBJCKLsoaWJ+7iSjrth6ptvJYJ/DB/YHvzIL\nq4oWMLtMYqoBt2zBqtjCXMgyegGZve2Pr5E8U3gQvzeXCcq1hrVmuvH0NEQYkHq7sBTj8YC7CFYa\n6eMzTwhNJd/9vPBzZMT6UlygObVgWYkb4mKJFpqDiAJrI1Awm92XTuOA/jeYz83ZX4XfIyelBFR4\nMs14tgOfAcXfASfcwO4Ft4bweDTxGpm9gZGzQ9PMR3JB47FiojjuMIpZ62oPmsW5M3o7T6DCv19y\nQohoElwAhutie8FNNcqfuFNeBka/EOp2KhL87kuTK4cXsIQvKriLIKWmwLL6bthZsOy+FxrHUEqv\njrCfAvhNM3VHo9FoNAmEECAQiHycHU5GMu8TQuYAaE8IuQXAtwBejXBO66Fmn707lFP4IP6YUOC2\ny5nmul1hVNWMvZxFkBdA7nxa+LFAqIugLLB4+/J1+KA3WpeqphB0ETREVceRpiUlJQfod23kNsTB\nfOVONgi1s2CJgiySuGkOIllWAvVMBO+YCyy/icWqcfeyptYfEyGE3W9+f3xVQJUxORB0R82wFnDi\ndlWhYRFqPGu5ZzER13c6cOKtbFvtgejcAzlcYIVZsIznORoLtCpeMhqsxBVgbb0WSyjIorKumMXX\n1RSySZG0LkB2PpQEU7WrXAS1BUuj0Wg0mmholhgsSulTAOYBmA9gIICHKKUvNO2ySUTVLmuBFU2m\nPD6A4TPxwx8LnTW2chMCnFmwuNufyj0QYK5yxM0GbbzOkty+nI565Z3sCeKz5aIQSRRcaPK4mcy+\nLE35L9YDF+00a1LZIQ4Wiz4ENv23/Ux9zjBzPRkEluwyKLrfhbloUiaY/Tbxd03h1FeBy4+aNb+4\ne6KvIvL1RIElxump4GLe7QXGvQ6c8W/Txa/2YGwCiyfuEJOlANG7CAKh7rxyTFZTSbH47otFkl2p\nksgyyjgcMyzHHUao468AZxYsneRCo9FoNBpHNIvAAgBK6TeU0j9SSv8AYAEhZEbTLpssEKDuMBvI\nqJCL9NrBB/b75rGlVfFSlQVLmfaaCyY/G5zWGX1Msxn8cVFWJMVJiS6CIjvmMtdDXv+p4yjrtuOF\nXIw1M49ZGtoPV6fwViFbS9Y/aG/Bai8KLAcCrjlJ6wwMvMt8ryoLUHtQyCCZIA/d9iex5bE1wOZn\nWLyfOyM0DbmMWIBalaUQMMVtx1PC96Vks4kHf60p7KIRWCnGhICVBSsai6zoDmz3HYsFPnEh17oS\nk4sQd/ivee1B8760H2HdvpX7ccAPFBoZKyNZGDUajUaj0QBIcJILQkg7QsifCCEvEULOM7Ij3QkW\nyHtl0y6bJPBBx5Gl5rZuQpxDLBYsTljqZ8FNSBZuqtTVQKgVi4tAu9l1fjxPIMHhLngqV0TqA4p5\nlrLTrduOF6KlIKU9kBdDxj6iSMTBB9WRLFhWhXxbCn8ts1yc8y0w8img71Xhx6x/UBANCcov0+lU\ntjy0AFhrJK/oe5X99cRCzFbP8FmfsiQu415T70/vzpa8NEIsFiw5BitSTKEKsZ6YqmBzU2g/ggmo\nsnXq2m8A2y9Te9CMVWw3yLp9KxdBMd2/tmBpNBqNRuOIRFuw3gJzCdwA4GYAXwO4AsCvKKUx5IRO\nQuRBx5TVwNlfmu+jsWDJCTFkdzy+v/Rn4D9DzO2XlVrHb4iZBOudWLAsYmV4+3KfAODYeuDgF2yQ\n3/Us67bjheiG2G5QdHEynEF3h29bdh1bqgaS2f2B095kCSKSDe4C2u1cYPC96sQqpSvMwbhTK1+0\n8Ni+Iz+Zz/3I2fbnOLFgZeUBo54yhZSMvD3rhIhdDRIpBisaC5Zc2iCepGQxCyH1m7GUQGh6eeIB\nIP2aV24zLd6pNi6YVi6CZRvMdeqgXppGo9FoNJqEJ7k4gVJ6PaV0DoCrAYwBcCGlVFGkp5Ui11zy\nZLG7OvIp9j7SAFNEnum3smDV7AMqtrL19O7WA1Oxf/5aZy6C4uC79+Xh+1UWrML32cCv79Xq7ITx\nRozViVUs5AwGzv5avc8qW1q/a51lKGwueHFjOabOLnNlSk7iLHAZPYD0Hub7rBPsn00gVNBHUzNO\nRLxmt/NCE8NEwqpQciwxWIEECizAtKLyJCJAqMA69e/h5xxbZwosu1g4KwuW+Kyo6r9pNBqNRqMJ\nI9EWrKDPDKXUD2A3pbTS5vjWhyiw2g1ilg6AWRKurGEZz5wiz5bLAks1Ax1pht0TpYsgd/MCWGrt\ncf8ALlhj3SeAZSkDgHaD7fsSL0QLVlOsMaqCtQArwNsamPAJKw4s1xUTB9Ly82H1N8cLsX0nyTRE\ngRXrZ9nrV0xUdp0ITPzceYp2wIynqzscuj3aNO2AGcOXKPj3v7ECOPwdsOBcMxnNGe8CvS8NP6ds\nvZDN0UZ4cwvW2lmh/xHqitmyzzRWlFqj0Wg0Gk1EEl1oeAQhpMJ4VQI4ia8TQiqadtkkQRRYF6wL\nHdx50sOPt0MczJ38P+Hnq2bTI836K2OwbJI08EQFABOMJ1xvFnMF1C6CNfvYMlGuZzKi0LSK23EC\nn7WX6TYp9jabk5xBTFzJtbdShIF0v+tCRXOiBZb42bgt7q9IPCxYfacBV1YCkxbZpzpXwZ/nMIHF\nXQSjsGCdcIPRH0UMXDzgvw+N5cCCs4HDC5kLIGC6RebfafTBKLkkugjaCd52A8113iZgCqy8NpKT\nSKPRaDSaZiChhYYppVGOdlohngygz5VA9olNz7IlZsfrOTV8v8qClTMkfJsIF1h1JSxGxJ1uP9A6\n4XqWsKPnVHVKZ5WI4m5KzSWwRFHblJTjsnsnAIAAncfF3mYyIFoqPBlA/m+ApUaWx0QLrKhrQQnP\nWDRFueMFt8haWbCiie8bcj+LQ7OqM9dU+L1tVMxN8b9j5NPMktX5NKDwPWa94gk77O5v36uAZdez\ngtFi6vd6Q2AlW+ZMjUaj0WiSmOYqNBwzhJAphJCthJAdhJBZiv0TCCGrCSE+Qsjl0j4/IWSt8fpE\n2H6ucc5aQshiQsiJxvY0Qsh7xrWWE0LyHHXyzPeAEX9p0t8JINSCpcq85skKd3/K7GffJhcR3I0v\nUvpoTwZw+ltAX4skj3buV4kevAf7IAzKo3EHk5ETegyZBfxqX/JlCYwWUdi4M0LdOhMusKK0YPGY\nvrRO1jWaEklqB/Z5N1aEJqmIJcmFywN0Oyd6y7VTRAuWDBdA7lQg92z2bHuM43n9OzuBRYhp6eQW\nL389cHRVaPsajUaj0Wgi0mx1sGKBEOIG8DKACwAMAXA1IUQ22RQCuB7A24omaimlJxuvi4TtrwCY\nQSk92TjvQWP7TQCOUUpPBPAsgCfj9sc4QRRVKoFFSLjLkujao4ILLF68ON4FUEWa4q4XK6rU1E7x\ndg0t0JszFMhoJfFXdsgWLNGtM+EuglFasNxe4PIy4FdFieuTHYSorVixJLlINFYWrJQcdfZPbvHm\nhYIjfR78uakuBNbcByy70dynBZZGo9FoNI5JdAxWUxkLYAeldBeltAHAuwBC0rtTSvdQStcDiMYQ\nRwHwqekcAMYULy4GwAu/zANwLiHNOK0eMjC2mG0WB3x9pqkD20WitWBFgzz4bC4XQRExg1wsDPqd\nud7aLVcc0XLk8rL4HJ4YJNGFoKN2EQQTZVblAZoDLrBqD5nbGmJIcpForCxYqsyeQPj3M9LnwWP3\nlt8EbJ4N7DXmrDqf3jRXXI1Go9FojjMSGoMVB3oC2Ce8LwJwqsWxKryEkJUAfAD+Sinl6dZuBvA5\nIaQWQAUAHnQTvB6l1EcIKQfQCUBIDmdCyK0AbgWAPn36RPUH2SK6u1m5vomDprF/i+wiJ1uw4iGw\nflkAHPySxXUVPGFub06BNfFzYP9nwAnXxa/NtlJIVU70kJIFXLQbaCyLrghvLIhxglZJRJKNNMM6\nI6ZqjyXJRaLh1sHiH0K3qzJ7AqGfhSstcvFjLqLkelcj/tt5HzUajUaj0SS3i2Ac6EspHQNgOoDn\nCCFGDnXcDeAXlNJeAP4B4JloGqWUzqWUjqGUjunSJZ4udw6MZeIgycnsukeyYMXDRTBnMCvUK7ox\nejKb1wrR4wLglJfjY3UacAdztUymGldxwzDspuYkXlwBsVmwWpo0qdhwwA/4jEQPKlfdloLfW15Y\nmmMlsMTPwokrrZXV3KrA83EMISSdEBLBP1uj0Wg0xyvJnuRiPwCxcm0vY5sjKKX7jeUuAN8BGEkI\n6QJgBKXUSKuG9wCcLl+PEOIBcx8sRbPhQGDxoHPAWYKHRFiwgm0LFgqrQV5r4JSXgV9ubj0Wl2ig\nTfx2R0u0adqTAe4+ufZPzHIVTGue3bQkKvFGNaGS0ds6hboosOQCwiqsBLGVC+JxCiFkKoC1AL40\n3p8sJlHSaDQajSbZY7B+BjCAENKPEJIK4CoAjv6REUI6EELSjPXOAM4AUADgGIAcQki+cehkAJuN\n9U8AcJ+zywEspLSptycKup3Llu1HWB8z7GG2PHOesza5wOJuP/FMciBmS1PVx2pNtEQGu+ag2QWW\n4CbaWixYvP5W7X7g+6mxpWhvDmR3RXc68KtCVmxaW2Gh6gAAIABJREFUBReKTlFZsNzpoeUjNADw\nCFh8cBkAUErXAoiQzlWj0Wg0xxNJ7SJIKfUBuBPAV2Ai6H1K6SZCyGOEkIsAgBByCiGkCMAVAOYQ\nQjYZpw8GsJIQsg7AIrAYrAKjzVsAzDf2XQvgj8Y5rwHoRAjZAeAeAGFp4ROGvx7Y8CgwZTVw/grr\n44b9P+CSQ0Cfy5y1K9d64rP18UBsuzVbsNoy2Sc27/U6CJMDribWhWsuxALHxT8ADWVsPZkSXABM\n8A2613wvuwrKVO+Nrn2VwErv3nYnH2KnkVIq58p39G/UQdmRPoSQRYSQNYSQ9YSQX8SlxxqNRqNp\nVpI9yQUopZ8D+Fza9pCw/jOY66B83k8Ahlu0+SGADxXb68CEWvNz6Ftg1+tAoBE4/U3r41xuID0K\nMRMmsBTFimOlrbgItkWmrAaO/KQuWJ1IxEQnVTub99qxktYx9H3lVrZMpgQXnFFPAUUfObu3PaYA\nx1az9TPejXy8yuLY2i3TiWETIWQ6ADchZACA3wL4KdJJQtmRyWAJm34mhHxCKS0QDnsQbCLxFaMk\nyecA8uL9B2g0Go0msSR7DNbxAw+mj2dWPCDBAktoW8dpJBcdRwL5v2kZ60MPY9K950X2xyULqZLA\nqjHCPJPNgsUZaJQWiGQhHPogcNq/gMuPAX2nRW7XyoKlkbkLwFAA9QDeActE+3sH50UsOwLrEiIa\njUajaUXEIwYroRas44ZEpYX2SAIrJY4CK7u/uZ6sg1FN8zN+PlC1m2WbbA3I37naA+rtyUL+b9iy\n0yn2x3nSgX4WCTCUxysEli4wHAaltAbAA8YrGpyUHXkEwNeEkLsAZAKYpGooYaVCNBqNRhMXkjoG\n67iCFzbdMSe+7SbSgtVuIDD4PpYqPffc+LWrad24va1HXAHhlqCgBStJBRZxAQPvAjqPi3xsNKQo\nBFay3oMWxIiRWii/4tT81QDeMEqI/ALAW4SEp7JMXKkQjUaj0cSDpI/BOm7INLLRV26Lb7uywIr3\ngGnkk8BJjwHuNlKkV3P80WkMkHcNsOdf7H3QgnWcWWVV1u3WkgmyefmDsO4FcBlYMftIOCk7chOA\nKQBAKV1KCPEC6AygOObeajQajabZ0RasZKHrBKDrxPin1RYFlicztFBx3K6hxZWmFUNcwOlvAX2M\n/Da1SW7B4hR9ArxNgMOL4tOemKCEY1V8+DiGUrpKeC2hlN6DcFc/FU7KjhQCOBcACCGDwQRcSRy7\nr9FoNJpmwOXSSS6SA0pZjar6I/FtVxRY8Yy/0mjaGlxMJHuSC07xD2x58Jv4tCcn+wCAjqPj03Yb\nghDSUXh1JoScDyBilh8nZUcA3AvgFqOEyDsArm/WWowajUajiQvaRTBZWHkXsG8eK+oZ8MXP0iQK\nrHjGX2k0bQ0usPw1bJlshYZlKoz66L7q+LQnuwOe+T7QdXx82m5brALL9kfAXAN3g7n2RcRB2ZEC\nAGfEracajUajaRHikcRZC6x40GgUN203CPBVxU8MebTA0mgcIbvDJbuLYP1RtuS/HU1F/G+Q0dt0\nmdSEQCnt19J90Gg0Gk1yowVWstBYAXQ4GZi8GHBHqG8TDdpFUKNxhpxFL9ldBP2G5aqxPP5t6+QW\nYRBCLrXbTyn9v+bqi0aj0WiSG1ccAqi0wIoHjeVsQOdOBepKAG+cUu9qF0GNxhmyBcuT5AIrvSdQ\ntgFoiJMFS8SdEf82Wz9TbfZRAFpgaTQajQaAtmAlD/VHgewTga0vAqt+C1xaAng7N71dbcHSaJwh\nC6xvzgCubmiZvjjh7C+Aiu2sDl288WiBJUMpvaGl+6DRaDSa1oEWWMlC32lsRppbrqp2AsfWsFiI\nnEGxtxtiwUrymBKNpiWRBRZtbJl+REO7AfFtb9RzwLpZwOjn4ttuG4MQ8ksAQ8HSqAMAKKWPtVyP\nNBqNRpNMaIGVLAx7kC1LV7Jl3WHgh4sB4gaudlLD0gK311xP9pgSjaYl8ea2dA+cQwPAN2eyuM12\nQ4CBd8an3UG/A/LvSIxVrI1ACPkbgAwAZwN4FcDlAFa0aKc0Go1Gk1TEQ2DpOlhNhQaAxkqWMJ8P\n8o6uYssTZzatbfETdnmtj2ttFH4AfDUufimqNZrOp4Jl3jYY+UyLdSUivmrgyFJg77vMpbhqT/za\n1uIqEqdTSn8N4Bil9FEApwHo3cJ90mg0Gk0SEY8kF1pgNZXqQuCDdsCuNwBvV7bt0Lds2Xda/K7j\nTotfWy1BQzlQOA/w1wM7XwdKlwMNx1q6V8lH2Sb20kSH28viIAE20TH47pbtjx18YmHA7czKvWNO\ndOc3VjW9AuLxS62xrCGE9ADQCECnbtdoNBpNEG3BSgbqj7BlWicmgk56HEgzElzUFMXvOq5WLrCK\nvwcWX8Fm7g9+ybbxWkAak8+HsZcmenr8ki1P/h9gw2OsfEIy4qtiy3aDgPbDWbymU+pLgf8MBkp+\nTEzf2j6fEULaA5gNYDWAPQDeadEeaTQajSap0AIrUfjrmRtb5c7Ix9aXsmVaJ7Yc9gDQ50q2vvHP\n8etTa7dg8Vn7QwvMbdqCFYq2SjQNdxrgyQZAgQ0Ps5IJyQj/LniygHYDgYptzs89uppN3FB/YvrW\nRiGEpAAApfTPlNIySul8AH0BDKKUPtSyvdNoNBpNMqEFVqLY9hKw+EpgxS2Rj20wBFaqIbAaq4CO\no4D+N8dnBr3TOLbMPafpbbUke95my/IN5rYFE4Ga/S3SnaSisQJYej1QKQy0tXUvek7+K3BFmVlo\n11/Tsv2xgriBTmOZK2P2QMBXCQRssh4eW89eAFC2ji3bDUl8P9sW+wkhrxJCziWE/euklNZTShNQ\n6Vmj0Wg0rRkdg5Uo9vyLLZ1YWLiI4mnUV/8e+HYCm0mPh8Ca/CNw+TEgvVvT22pJuFtUxZbQ7WUb\nm78vyUbhPKDoI4B4gF9uAk59VScriBXiMgVWsiZRaT8MOH850OV0loH0shL7z/uLEewFmEIrntbx\n44PBAH4G8CCAfYSQ5wkh41q4TxqNRqNJQrQFK1H0uRJI7+5sgNZhFDD0QbMQcPuTWFzW1meZqKCB\n8HMOfAkEHKZvd3mA1CYWGT66Cvj5TnVfmgt+Lyu2hm4PJHEx2ObiwBdMFGT1A3KGAP1+zZKAaCtW\ndBQ8CWz6a/ILLL/wzLscVMroeRFbBnymBauxLP79asNQSksppXMopWcDGAtgF4BnCSE7CSF/aeHu\naTQajSaJ0AIrUQz9EzDpR2DCx5GP7TwWGPFnwGMUBc7OD93PLTecQwuB7y4ANjXj//Q19wHbXwbe\ncQNr/th81xXxVTF3xwu3AJcWI5hSO1CfuGsG/MDe95M/tqliM1B7gH0+X44Fij4GFk4Gvjm9pXvW\nuij6hGXwDAqsJHQRPLIceC8N+GYCm/Co2g0snmbW0FPR+1K2rNhiupE2aM+2WKGUHgDwGoBXAFQC\nuLlle6TRaDSaZEILrESw4Bxg41+A7P5AzuDIx9cfBeqKzfedx7GEF+PeAM5bDrjTQ4/nmQXLNqDZ\nyOxjru9poYRZviogZxAL6vd2AWCIHn8CBVbhB8CSaUDJEvsYl5amURgsezJZtkWAWfv0QNo5jRWs\nIHf7k4BzFgBbn0s+kVXwV7ZsP4y5M/pqgML3gerd6uNrilgGToC5015WygoUawtW1BBCvISQKwgh\n/wdgB4BzAMwC0KNle6bRaDSaZELHYMUbGgBKFrOg86Orga0vRbZ+rH8I+EwQYqntgcuOACdcx6xb\nYmxFwMcGVs1NznCgzxVA/l2hg/nm5PzlLIX9j1cA354FDLqXbecWLBpIgKXJcInc8xbwbmryDbY5\nDcJgOWdo6L7K7c3bl9aMr5IJLFcK+8wPL0RQyCcLFVtYgotRz7H3KVls2VipPr50JbDrH8Yx5YAn\nA8jMa7nvcSuFEPI2gEIAVwL4N4A8Sun1lNIvKdUpGTUajUZjoi1Y8ebgV8zSkdGbra+6K7ILm7/a\ndEkSqT0I7HgVqDnA3tMA8OmJwDdnspiK9iPi338rBt8DnPk+q8/lq3Ie/xVP0rsD6T2AffOA4h+Y\nG+aYl4DOp7H9P15mBvLHCz4ITe/FljX74tt+vBjzMnD6O6x+05D7gEnfs0E40HYG0lW7gc1PNU1E\nH4kQl8YtWL5aVvgbUH83WwpfLXPx634+4E5l2zyGwJJdiTl1h9nyV/uY5Xf1H4BelwB51ya+v22L\nLwH0p5ReQSmdTymti7YBQsgUQshWQsgOQsgsi2OuJIQUEEI2GaJOo9FoNK2MeAgsBxHWxxFr/8SW\n7UeYxT991YDba32Oz0JgVe1had4nfg5k9GCJL6r3sn1dxwOD/xDXrgfZvBno3RvIygrfx5NlNFYA\naR0Tc30VAR+LOet+vrktrROQ/xu2XnuIZdEDWNyUyx2f6/I6ZqXL2bK6kLkoJhsn/Dr0fWYfYOwc\n4IuRbUdgLZwEVO1iwiA9N/rzaQD4ehzQYSRwwWrFfsrccXk9Ok7hfGD7K+w7N/zh2PoeL6ifWa74\npAIQWWDxzz+lPUuGsv8T4NLDie1nG4RS+mZTzieEuAG8DGAygCIAPxNCPqGUFgjHDADwJwBnUEqP\nEUK6NuWaGo1Go2kZtMCKN/5aoPsUoOuZZjC5ryp80CbSWKUWWKkd2LLhGJu55uKqw8nseEoBUBaH\n4ZRDC9lA0Sql85YtwNChwLBhwLp15hPy1Tig06msPhfA4jeaU2D5qoANjzDrQq9fmdkVyzYA3q5m\nPNpZn8ZPXIkc+A9bJqMFy1cNHFvLsgfyZwYAUoy0//FI9Z8MpHYCPIftv0t28PvAJz5kCAEuMWqq\nUcruX2M5i8Oq3sssqC1NShYw8K7Qba5UZjF3parPaSxndbOqdgI7X2XbKGVxn94u0f1+aJrCWAA7\nKKW7AIAQ8i6AiwEUCMfcAuBlSukxAKCUFoe1otFoNJqkJ+ljsCK5VBBCJhBCVhNCfISQy6V91xFC\nthuv64Tt3xltrjVeXY3ttxFCNhjbFhNCoq/EOekH4LR/snU+s9xoMbPMsXIR5AKm/ijwQTbw1Vg2\niBrzMkvtPq89UPyj877VlQALzwU2Pm59zNKlbPC1YQPwyT+BtwnwcR6zHAQagL5XAdNqgawTnF83\nHvDZeU8WMOFD4JxvWD+/OJm5UfJZ+sy8+F636/jQ98kosCq2MbfRw9+Hbs/oA1xRzlK2t3YajgFH\nfwZ6X+YsLbmK1PZAzjAzZTmncF64CCWEFRzufRmLqazZB+z/LLbrxpOaA0D5ltByCYQAvyq0tmg3\nlDGxmN7T3Lbz78CH3XSR7ighhLgIIbGm5uwJQPwBKTK2ieQDyCeELCGELCOETLHox62EkJWEkJUl\nJSUxdkej0Wg0iSKpY7AEl4oLAAwBcLVC9BQCuB7A29K5HQE8DOBUsJnDhwkhwvQ+ZlBKTzZefJbw\nbUrpcErpyQD+B8AzUXc6PZdZVIDIrjucAb9hLxnRgsVjqKfVsSyDmX3YoLBsvfO+ebsA7QYDR36y\nPmbPHnN9/Qq2rN7LLFap7QF3mr27Y6LgIlUUoi43m30P1ANpXYFu5wFbnmVptuNFr4tD36c2o9XO\nKVxc8kLVHJebWfzagoVirTG38v/ZO+8wKaqsjf/u5AQz5ByHjIgkA0ExACbMOa45x3V1zTmHNWfX\nsLomDCBGRFFRUJAoOcMQZ4AZGIbJ9/vj1LVuVVf39MDg4me9zzNPdeWq7uqe8973nPds+F7MY3YU\nqY29zb8LfxPHxe+PlcGELwZA2UZ3fZqVipiUsePnrSssfhE+7eH+HsSDve6Hw6ZDWmPoeo2ovL/X\nFObtmuv8fwqtdTXw6C48RRLQGRgKnAq8pJSKaGKotX5Ra91fa92/SZMmu/ByQoQIESLEjmC3JlhY\nKRVa63LApFT8Dq31cq31LH63e/sdI4BxWutNTrrFOCBwNNA6lj2MncmO2IfNvstVEpodAEctcRoO\nx3Cfa3eS/PmRkCwkrXwz7HGbBMpV22Wa1lxSpWpj1V5dJTVMG36IbhSweLH7es1ya98KIXzb18HU\nq6Tx8B+JLU4WjV85S0gVgtXsAKlVW/qqBOF1BbvR7BFzItOzdgfYNTZ+zLxFFJo/O/Z+QWzTty2H\n9d/u2DEKfoGyfHHDLJwjy4z7YlpzmW6a6qZWgpdgJdffsfPWBiVr4L36Qvam/T1y/fbVMoDjT/Gd\nchnMuiP4mMn13TYL/R6DVkdCZhvnfLuhIrv74yul1PFK1frf52qgjTXf2llmIw8Yo7Wu0FovAxYi\nhCtEiBAhQvyJsLsTrHhSKnZ031edVMBb7X+USqnLlFJLEAXrylpdbXUlzL7d7TmTlAmpTWB0O/j5\nguj7Fc339sGyMWIKdL5Y1CNdDRNPMhcqvXpqo2DNuU/qSarLxI46CPPnu6/XrfGuS8kRgrfwyT+2\nBxfI+RJSxaDARkKqqFtai2KT2tCrQMQDrWHS2bB2nHd5aQG8Zxl9ZLRht4QhCX4FC2DJK+JmWfgb\nrP7Um1r2Z0OzA+XzLt1Bg4Ytc6FojrwfX/aX56Z0nawzhCOzvTcFMb25+7rJ4B07b7zYPAvmPex+\nN+cHCOglq8VJ049NU2HhU1Kr6ceiF2D5O95lGVEIVkkezLxZDHZ29+ba/ztcC7wPlCultiiltiql\n4il0nAJ0Vkp1UEqlAKcAY3zbfIyoVyilGiMpg0vr7MpDhAgRIsQfgt2+BmsX4XStdS9giPP3u1+x\n1voZrXUucANwS9DOUfPfqxyVyqSxlRfBLxfJ62iF9QDjBsHsO4PXZXeT2o9p10qA2WSQuy5nTyEe\nsYLmJa+Kqgaw3UoHKiuI3PbHH2GalX6Vb9lZZ7SR/krGRbC8UFS5WJbXdYlet8MxeZKiaKO6DBY/\nD28nwCddxAgh6N5ioXQDLHsDvh3uXT75bPd1ZntY8CR83m+HLn+XwtQPJQUoLCnZsv7zPvDdkVAw\n+Y+9trrAtpViwb/pV1GUtq/bseMY4r3mU6gqhXXjYLsziJDWHE6phKN8sWy7U0QBanUU7PPSjt9D\nTdi2CqZfJwMgBkF1jqXrgs02Nk+H8k0yiOLHwqdh5bveZcnZoo77CdbMW+QYYzpIOmKICGit62mt\nE7TWyVrr+s58jfKm1roSuBz4EpgHvKe1nqOUukspZQoDvwQ2KqXmAt8C/9Ba13LEKESIECFC/K+x\nuytY8aRU1HpfrbWZbkVqt/YO2P8d4JigA0fNfzfpZIZgJWW5pgs5vYKvsnKbjFhH67Wz6mOY/ncx\nLDj4G+n9ZNDyCOh2tQSL0bDsDZjvlAyU5ImbWPd/iB21H6NHy3SIY+xQlACtRkL9brDva0LuTBBf\nXghTLoFvR0QeZ1chrXHksj1udV9XV0jaZG0VLOP22MtHcu2UsKOXCZkrnCGpljuL4uUw/hDp67Sz\naHk4DH4/WMFKqi8GJdrpW5YUYL2/q1FdCROOgPEH75gqUjQPVn0o6mlKdnT1tSb4n4uCn4RQABRM\ncmr6fL+ISfWg112Qe37Nx68ohh9PFUJYW3y2hxA+leSmJW5bDlXlvnsoEFXcD9Ncus2xAddV5A6M\nGCgFfR6CFofJfMka2DjFq44tf7P29/EXgBKcoZS61Zlvo5QK+h8SAa31Z1rrLlrrXK31vc6y27TW\nY5zXWmt9rda6h1MP/E7sI4YIESJEiN0RuzvBiielIhq+BIYrpRo45hbDgS+VUklO6gVKqWTgSOA3\nZ97OdT8CWFSrq/UTrIRE2Os+ITR23xqD4uWSglZdAc0PCT7mirdlmrNn5LoWw6D3vbGL7zdMEAWj\nqlysvNueJIFV0Cj4zJkyPf54mRZWwQFjpPao+UHuPSXVk6CtaI6YPmyaBkVzJT1p5fuRQXRdpBrN\n+Ccs+Xfk8mbOdalECSJNI+TaYMsCmXawGq9uWeTWcg1+X6ZpzUUtLKsD164NE2D9ePjt3p0/Vr1c\naHtCsPV+SrakjwEc+BWg4ZthkjL4R2D6P+CdZFjzmaS67sgvTulamaa3lIGBqoA0uHhQ7lNbl74m\npDk5G1a+B79eHbmPUtDtKlF/P2ol39VoKJgEK96BrbX72UBrV4XUle516mq3NYNB/6eg04WRxzjw\nSzh6BaBh+vWSkjz9H7DBcUBMDiDfnS+Bls4AyYwbxKV0+X+kxrPVUbBlXu3u46+DZ4H9gNOc+WLE\njClEiBAhQoQAdnOCFU9KhVJqgFIqDzgReEEpNcfZdxNwN0LSpgB3OctSEaI1C5iBqFom9+dypdQc\npdQMJM/eyhGLA5W+FEGDPg+J0uRH/kRn/cPQYnjkehBylpAshflBqCqFL/aGRc8HrLNGvwt+knSo\nxgMlmAuyjp/l1HMNGybT9euhqkrqQt7Lcus7UhpIkFs0V0bOp10DP58Ps2+TGrH1491jPvwwtG0L\nq3fSDnr5W+77ZcOcS1dJEDnkQxhRyzS49OaiVhXOduuZxnaR96vR3kJewCWlH7WAOffv2H0YmPc/\nWj+yeFC8FL49VJrHRjN+yOzgvs7ZE9Z/Iy6LhbNh8nmwbnzwfnWFLQvd1y0Pj3+/DRPF6KFktZsS\nmNYMhn4Og3fQtEMlQcP+cPxGR+kskNYD9bvJ+pXvR9+3ukKeh4oY6lmF8+wkZYnKWV0Z33VVl0HT\n/d351o4K1e9J15zi93VHQ5MAl/C0plKfNuUy+b4ueVnU0VmOQtfs4Mh9StY46ma1q1aV5EFihiju\n5ZvDOqxg7KO1vgwoBXBMlKI0IQsRIkSIEH9F1EUN1i5tNKy1/gz4zLfsNuv1FCT9L2jffwP/9i3b\nBgQW0mitr9qpi83ZQ/oOJaTWvC1AvU7Q+VLoGuO0jfrDSSXRe/8kpkHx4mCzC+MuBxIc9rxZCMP7\n2dDnUeh+rbt+0yZYtw6ysqBbN2jWTAjWZ3+DrU7wleSkFR69XAKzxS/Agn9B0wNENSpeLuvnPCBk\np9EAuP56Wfbkk/Dgg3G8KVFQWSKBnx8zb3Zfp+TsWI+kVkdCh7Ph+6PlPept9QmzyXKaZXgw9wFv\numa8KFkjwxpdL5cUsLyPan8Mg0lnQf6PYtqQ3gKOXRO5Td/HxIGvcBaMae+mk26YAEv/DSv+K33N\ndhW2LZNpRlv45WIhEp1iGL4YLHpOpuu/EVOLpExpsmujYquQpqSAdNcgDHjafZ2UJSmDielSX7jx\n52CVx8Cki1Zsid5ge7tjvvHrVXI8gOGTpK1CLCSmwaB3hbjX7y6DKSvfk++VXXNYuU1Uspze0nLB\nj83T3fMaNDtY+qC1Hhm5/c/nQ8lKUaJtdL8Omg4VZVxXizq8u0FrGTSya1L/OFQ4LUQ0gFKqCZEu\ntiFChAgR4i+M3VrB+tNBJUgg5jdimHgyfBmQIth4XxjwTM0qRk2kISsXti6JXG7UGJBAsvc9QnpQ\nMP8Rby3RKqfYvV07od25uTK/LiAlSilvULZpmpy/hZNutH48LHrWu0/1TsYfVdtrDqSbHSzqzNge\nkU13o2HjVCj4Gfo/CS2PlJF8e9S+6QHu68x27nzD/rW7foPZt8O3Tt1L30fExn9H0dyqf4tWW5Wc\nJZ9Xg95CRgyMWhNk7e5HeRF8f0xse/TyIiFF/nYExcuh08UwcqE8F7bJhtbw3XewMaBmruPfZJqY\nJt+nbKeGccW7osxUV8L79eG7AOIQD4yyl97CrU/y1ynZSKonU39DYhul6+Q3wG5hEE9PtsoSQMFx\nG+Cgr13jiRXvQL7Vs27rYknvjNaGoNlQ93WLQ6HHDdDhdMg9N3j75HrB6YwdzpS2Bz1vkpTg3REL\nnpDm2n7nzz8GTwIfAU2VUvcCE4GdlLRDhAgRIsT/J4QEqy6xeZbUPWxf61uh3fQhGyV5wbbKtUVW\nRygOCNSNgrXXg+IktnGqfOLJ2XKNtuqV5zgMtnbEwPbtZLq2Qo5vj+4veNp1RwQxHagqkaB4H0cw\nLPLVb2zdCgceCG/uQOG81kKwgow5mh0o04zW0qNKV0vtyOzbIrf1I2+M3IdxC2x1uNS8bLV6gdnq\nYkZLOGSC1J1l+/tdx4msjlA4U1z95j4cub6iAj75BEpjGJcY9LoVOjrBczzmFfZnaJrtDoijdKR4\nKeSNju0YuewNmHKp2MJvdGq+Kkvk2chsJyQppZG3Duq222DoULjkksjj1e8i04qtsNcDMGKSzK/+\nBBY+K6YX4E1HrQk/ny+NqAEO+VaenfQWovA1HBBbwfq9afi26NuUrhcDitTGkHuBkLh4at3WfAof\nNZf9M1rCPMeUZu798r4bGJOO1EbBx0lMgwPGwqHT4MDP5X0rL5J2A9HuqdpKI+50sUxNPWXxcjfN\neOuSP84xNB4UOM9DtPYWuxBa67eA6xFStRY4Rmv93h9+ISFChAgRYrdFXRCsXZoi+KdC0RwZXe94\nntdEIlph/tgeMrrc7/HIdbVBvU6w6gNJ/0pMc5dntJI6DpSkWhk798HviSW5HSxGECwnHW5tCdwy\n36vqbJws6UMHjZMRdYOSPMg9R0wVlv0HiqzA7oUXZDphAvTsCXvsAclx1h+V5YuCENTo1aRjluTJ\nNbYYDu1Pl2bKsVC5TVQZNHRyyGLToTItsFQDvwNb+WZJcTPmGrWBrnZTmjbPEIJbMAn2fl5qaADu\nuQfuugtOP71mMlq5HVoeKql+0VwobaTkSKNagPZnwj4vep+XaDBpfhNPgBMKg90K8z6C7D2kF9OG\n72DIKHkeWxwG2d1lG9vhsbpa7hXgfccYxf41+l1Z8dUAme+SWd/zppqv32D1p4B1jrYnSvqbShAV\n2W4q7EdGa2hzQuxmw12vlmP+crFcY/2uQggXPS+On5ltgvcrN42infd12PewfgLMvsPb88u0H4hG\nsABaHWEddzN80Vfeo94BZirJ9eT+taNkG1v474+FgW/BjyfD4b9BTk/4pBNkdYKjamngUddY8LR8\nh0wtXLR0zV0IpdR/tNZnAvMDlv3hWLBxAUPbaSF/AAAgAElEQVRfG/q/OHWIECFChIiCDRuAvwGv\n7fgxQgXLwO8iaFCsYL3PVMKM7scK6uJFk/2l+L3cp5KltxBV58ob4Gqg3ElzSsmR0XVlfXR+gtXC\nCfY2lEjwmWjVcCfnyLns9LJ6naV3zop3Jcis3Ao/PxF8vX37wqOPxndvuho+bi2j8d2vi1y/9gv3\ntbHvzsqVNKuqsujHLS8CtNSiDXDqfbI6Akpqo0wK4IKnvPuNaghzH4QGfeO7fhslq+HrA6TursUI\nCbrzPvL27XrlFZm+9VbsY1VXwnsZohQ22js+BcsQ7D4Pw8A3JACviYiCpIAaBCkGFVvlOK1GQoO9\nhDyCBL8HfibPJggxKHcI1lJfv6kFC+CbEa5is+Zz+R61OxXGDYGlr8vyxAwhL7oS0lsFE4dosMny\n7Lvlvowj3/AfYb/Xou+b0xOGvC/TWNu0GC6DD8vflGczpYG0MzDvSeB1OWmHhrxldZSBl7RmPoLl\nuFcG2bQHYZRDPuzaQRtJWYCGgx01zxhtNOhtKXbF7veoeHHgYf4wlBfBr1cIadzzLtj7RWh52P/i\nSjwPgVOPtRs2yAsRIkSIEH9mhAqWQRDBWrMGjnoLSiuh+Rg4yuknaQKnaMFPbdByhGu3bKN0g/x9\n5dTFfPA1XNFd6rCO9gW4foLVqr1MNwf0fCrbIKletoX0gGdFzUprJrUg6a1g+bTIfQ0eeQT++c+a\n762iSBzcqqOQpSPnC1HIaGMFqLmAFqJUv2vkPtu2QZmTIpfe3FVOElPhhE0ShO9xG7ydGJyWCG5T\n6SD41RgDU1vT8ghJR1zzuSgc5ZYZScOG8Tku2s9an4chIQ4lqvOlYjfe/kxJl1s3Xt6jk0sj6wbt\ne5ljkRjbOMWgcJYQniaDpOZr5ftCGvxqT1YnN81sho9wTP0REr6CdV/BaVruLzFDUjjzJ8rnAVKH\nV7VdGk/3ul1UsoQU72BBEKrKZT+jEm2aKvVRe79YNzo+wOrPZFCj8X6iZne+RNTRz/eKtIi3UVEE\nKFGUbKQ19zYHL1nlKG1N47uepHqxB3FaHyN1Y1sXw0Hj5X3IaC1uk8lWSmSJcw1dr4nvvLsK060B\nlkb95e8PhFLqRuAmIF0ptQVXDi0H/mddmbs26sqEv034X50+RIgQIUIE4J134NQbwJM5U0uECpZB\nVYBN+8cfC7kCmDLFXf47waoDBcvAb6m84Cn4qLc1vyB4v23bpO4HJHUPoIOzX35AQK1awTKgYT8h\nM21Pgm0Oechw0qBGLoQm50W/1vLy+IwvTK3QtGvFMc+P+l3FLCSjlbus+SFi553eKnL74mJo2RJG\nXggnl0Xa3xuFoyyfqLVzIHbYfmgNk86GCYcF21ubQNWkiplg3zZOSLRMBdatCz43uASrYJKoYtXl\n0bc16Hq5KIEbf5FaqW3LZXmsOpaKItjvTakp8l+rgbFiz9kTcvaS15tnwcoP4OO2UsMF0OdBqX0C\nmD3be4w85xiG0FYWy2ew/E0hasZcJDFd7rW6Cpa/A++me2vmYt0HuKprwST5vm78peZ9Qd6j9xvA\n4peib/PL+WLuss9LQvqS67s26+Y5jnZtyfUiSWJmO6mDMs9S7gWw/5iayaTBfq+L6hutBUSj/kLM\nZ1wv5EpreUarSt3fsMpid2DATj+sS6x4T3qSxUJVqVjPG6z7Br4a6K1R28XQWt+vta4HPKy1rq+1\nruf8NdJa74ClaIgQIUKE+P+K0OSiLlFVKjUNCVY63dix7uv1VrqP6e2TXkcE66tBUiNjY/M02J7r\nzk90+kiVboDxhzg1KbhObn37wj77yLIGjqIRFOT/YzLcAvy0EPZ7Q9zKfnbMFjIcBSwpA7bGaPi7\ndSssW1bzfdmB6fYYhMNGRkupTbJtvbdvl/qvadNgyxb46ScgMdLBcdWH8t586HwutiMcwEinBqU6\nwIRi3ddi9rD2S1gd0A/bmJ+kt5SpUXgqLdKSZykWawJs1w1MM+XM9jKtjdlDqfM+pjTwzgdh1Qcw\n6QyxsodgBSv3HOktldFaUgTN9W1fK8F5Ur3Ifcy9tXBqFdc4z8LBDgGz6wOPW++mqPa8SZrqvpMk\nFvMQn9FBdZn0uzK1keZzz46R8mcjMU3IdtD9GxjVrrpKSGBihkOiVWyC1eoo2POeyOW97oBjVri/\n0vVy5bmOF22OFXUzmjtieaE8rylOTZdJIS1Z5TX1aDJEiF0sB8WdwYq3pe1BLJhm4CZ199thQpIL\nZ0ffZ9fhZqXUGUqpWwGUUm2UUnv/Ly4kRIgQIULsnggJVl2gugIWvyijxSeXue9qVRX8aKkuNsHK\n7in1P6awfGeRkAyl+d5lm6bBVqtF2KxZUFgoI9Xrx7sKxiYnfalrV/fa8x6ST7agQJztbExyrLY/\n/lianjbsKyQrq5ObarboeVjycexr3hrQtHX+E/DjabL/9rWuKQJET9cLwpovxc56yRIYOBBatRIX\nw5utvlmfnyd9qWxs+tVLVnr73JfrdZJ6laD6ruzu8pkmpMCaLyLXl64Xq3RDbFIaiOJn+gxt3y7v\nt8HGjVBSAvvvDw895D2WISBZjt3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0fXt3W4OVq2Cbk26VvEVS3348Tay7mzl1NB984JIP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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9c1de90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vs.plot_trials('sim_improved-learning.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 尝试硬编码驾驶逻辑（For Fun）\n",
    "\n",
    "> 我觉得Q-Learning的思路与监督学习中基于实例的学习方法例如KNN有相似之处。KNN直接用现成的数据给出预测，根本不用训练。Q-Learning虽然需要训练，但本质上训练得到的就是一个可以直接进行预测的数据集范本（也就是Q-Table），给定一个输入状态，只要输出数据集提供的最佳方案就行了。\n",
    "\n",
    "> 本质上，Q-Learning是试图用Q-Table这个数值表来描述文字性的游戏规则本身。这个游戏规则其实也可以用硬编码来实现。因此整体来讲，强化学习 vs 规则硬编码 之间的关系就像基于实例的预测和基于模型的预测一样。\n",
    "\n",
    "使用实例预测 | 使用模型预测\n",
    ":---     | :---\n",
    "Q-Learning得到的Q-Table | 硬编码逻辑\n",
    "KNN                    | Linear Regression\n",
    "\n",
    "\n",
    "根据environment.py的 `act()` 函数里制定的驾驶行为评分逻辑，可以相应的推断出最安全的驾驶逻辑，写成硬编码来测试玩。我尝试将agent的 `choose_action()` 函数用以下代码实现并测试，结果显示可以直接在100轮测试达到双A+的评分。\n",
    "\n",
    "```python\n",
    "if inputs['light'] == 'red':\n",
    "    if self.next_waypoint == 'right' and inputs['oncoming'] != 'left' and inputs['left'] != 'forward':\n",
    "        action = 'right'\n",
    "    else:\n",
    "        action = None\n",
    "else:\n",
    "    if self.next_waypoint == 'left' and (inputs['oncoming'] == 'forward' or inputs['oncoming'] == 'right'):\n",
    "        action = 'forward'\n",
    "    else:\n",
    "        action = self.next_waypoint\n",
    "```\n",
    "\n",
    "\n",
    "- **红灯**\n",
    "\n",
    "    - 需要右转，且对向车车道没有车左转，且左侧车道没有车直行 → 右转\n",
    "\n",
    "    - 需要直行或左转 → 留在原地\n",
    "\n",
    "\n",
    "- **绿灯**\n",
    "\n",
    "    - 需要左转，且对向车道有车直行或者右转 → 直行（或者右转也可以，但是不能留在原地，否则算1型违规）\n",
    "\n",
    "    - 需要直行和右转 → 该怎么走就怎么走\n",
    "\n",
    "\n",
    "\n",
    "- **题外话：完美驾驶也会到不了目的地**\n",
    "\n",
    "    在将 Test Trial 轮数增加至500轮时发现了有趣的现象，就是在完美驾驶的情况下，也会偶尔出现1-2次未按时抵达目的地的情况，因此可靠性会降为A。这通常是因为刚好小车赶上了走哪都红灯的郁闷情况，或者遇到了绿灯左转的情形，因为评分逻辑对于绿灯左转对向有车的情况不允许不动，所以处理起来是一个悖论，如果硬着头皮前进或者右转，就有可能导致没法及时抵达目的地。这本质上不是小车的错，是天时地利决定小车没法在Deadline内抵达目的地。同时，这个现象也侧面印证了Deadline这个特征对于训练小车并不是特别相关：小车即使是完美的，依然有可能因为deadline而失败。\n",
    "\n",
    "\n",
    "> **可以看到，Q-Learning所学到的Q-Table，就等效于上面的几行if-else语句逻辑的效果**。虽然硬编码在这里显得成本很低，但这实际上是因为当前的场景已经进行的相当的简化，没有进入路口的情况、不考虑其他车违规时自己需要避让的情况、没有掉头的情况、没有诸如交通灯失灵紊乱等各种其他突发因素的情况，只有在这种理想化的情况下，直接给出驾驶逻辑才会比训练驾驶逻辑要简单的有效的多。但是真实世界中的问题要复杂的多，且存在很多偶然性，其背后的游戏规则很难用硬编码来全都照顾到，这时候就显出强化学习的优势来了吧。\n",
    "\n",
    "\n",
    "下面是不学习就得双A+的硬编码驾驶结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6nXtJt3t/vwTew/3jzypl1RNxO17Ttpd/KnCsCuvPw92DNF5V84DhuGF6v/Ty/COlN4P/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\nltY6UIvmARZu53j6Fd73VYsGt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      "text/plain": [
       "<matplotlib.figure.Figure at 0x9db8090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load the 'sim_no-learning' log file from the initial simulation results\n",
    "vs.plot_trials('sim_no-learning.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 回顾项目的演进过程\n",
    "\n",
    "阶段 | 模型描述 | 训练轮数 | 衰减函数 | 学习覆盖率 | 安全性/可靠性\n",
    "---  | :---     |:---    | :---   |---:              |:---\n",
    "no-learning          | 光explore，没留下东西  | 白训练 | - | 0 / 1536 | $\\color{red} {\\mathbf{F ~/ ~F}}$\n",
    "default-learning     | 边explore，边记录奖励，逐渐减少explore | 较少（20）  | Linear | 300 / 1536 | $\\color{orange} {\\mathbf{F ~/ ~B}}$\n",
    "improved-learning    | 边explore，边记录奖励，逐渐减少explore | 较多（600） | Exponential | 1000 / 1536 | $\\color{green} {\\mathbf{A^+ ~/ ~A^+}}$\n",
    "decay_step           | 边explore，边记录奖励，训练阶段始终不减少explore | 较多（600） | Step Function | 1260 / 1536 | $\\color{green} {\\mathbf{A^+~/ ~A^+}}$\n",
    "hard_coded           | 不explore，直接按照交规开车 | 不需要训练 | - | 0 / 1536 | $\\color{green} {\\mathbf{A^+~/~ A^+}}$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 对随机探索因子 $\\varepsilon$ 和学习因子 $\\alpha$ 的进一步讨论\n",
    "\n",
    "#### 随机探索因子 $\\varepsilon$ 的调教\n",
    "\n",
    "- **Exploration-Exploitation Dilemma** 是一个很宽泛的概念，在不同应用领域内，Exploration和Exploitation的含义会有变化。局限在这个项目里，这个困境其实主要控诉的是**探索的速度会越来越慢**这个问题。在最理想的情况下，我们肯定希望先让Agent疯狂Explore，将整个Q-Table全部填满，再利用Q-Table完成任务。但是实际训练的时候，将Q-Table填满的过程会越来越慢。假设我们探索完了所有可能状态，用时为T，那么探索其中80%的**状态-行为对**只需要20%的T，而剩下的20%状态需要80%的T。对于本身状态空间就很大的问题，T会达到不可容忍的大，因此我们等的花儿都谢了都不一定能轮到Exploitation。\n",
    "\n",
    "\n",
    "- 解决这个困境的方法就是**及时结束训练**。这就是我们设计针对 $\\varepsilon$ 的衰减函数以及 `tolerance` 的原因：用来及时结束训练。至于衰减的方式是**渐变式的下滑**，还是**休克式的阶跃**，其实目标是相同的，都能确保训练结束。唯一的区别，在于渐变式的下滑可以让Agent在学习的过程中逐渐越来越能完成一些任务，而休克式的阶跃在训练时几乎全程都没法完成任务。\n",
    "\n",
    "\n",
    "- 如果你想让训练效率更高，使用阶跃作为 $\\varepsilon$ 的衰减函数是很好的选择。但是要清楚一点：即使是阶跃，也解决不了 Exploration-Exploitation Dilemma。\n",
    "\n",
    "\n",
    "#### 学习因子 $\\alpha$ 的调教\n",
    "\n",
    "$$\n",
    "Q_{new}(S_t, A_t) = (1 - \\alpha) \\cdot Q_{old}(S_t, A_t) + \\alpha \\cdot R_{t+1}\n",
    "$$\n",
    "\n",
    "- 学习因子的设立，是为了应对奖励值是随机变量的情况。最理想的情况，学习因子应该等于Agent访问每一个状态-行为对次数的倒数，例如状态-行为对 A 访问了N次，那么alpha应该是1/N。这样本质上求的是奖励随机变量的期望。但是在实际学习中，每个状态-行为对的访问次数都是随机的，因此alpha在Q-Learning的公式中就变成了连乘模式，即越老的Q值会被衰减（遗忘）的越厉害。\n",
    "\n",
    "\n",
    "- 在这个项目里面，学习因子的重要性似乎很弱。究其原因，是因为每次学习到的奖励的**随机变化幅度太小**（变化范围在正负1之内），换句话说就是太\"确定\"了。因此其实每次学到的奖励其实都很有代表性，很正确。如果这里奖励的分布特性变成了正态分布，且方差很大，导致不同违规类别的奖励值会产生交叉时，学习因子的重要性就体现出来了。因为这种情况下某次得到的奖励可能是个outlier，错误的代表了此状态-行为对的奖励的分布。这时候alpha越小，历史的Q值影响就会越体现，从而冲散偶尔出现的异常奖励的负面影响。反之，如果一个世界对于任何状态-行为的奖励是完全确定的，那么学习因子可以直接置为1。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pxq2TddWEnnpjYaHy/zZd90xbroq6RqfLAwAAQBAgtAFBIDE6XL89fYD+9/NJ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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8ea0a30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 指数渐变衰减 vs 阶跃跳变衰减\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "x = np.arange(0, 600)\n",
    "y_smooth = 0.995**x\n",
    "y_step = np.ones(600)\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.plot(x, y_smooth)\n",
    "plt.plot(x, y_step)\n",
    "plt.title('Epsilon Decay From 1 to 0')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----\n",
    "### 选做：未来奖励 - 折扣因子 `'gamma'`\n",
    "也许你会好奇，作为Q-Learning算法的一部分，之前要求你在实现中**不要**使用折扣引子`'gamma'`。在算法中包含未来奖励能有助于在未来状态回溯到当前状态时的反向正面奖励。本质上，如果给予驾驶代理程序执行若干动作到达不同状态的选择，包含未来奖励会是代理程序偏向可以得到更多奖励的状态。一个例子是驶向目的的驾驶代理程序：所有行动和奖励都相等，那么理论上如果到达目的地会有额外奖励，驶向目的会获得更好的奖励。然而，即使在这个项目里，驾驶代理程序也要在规定的时间里到达目的地，包含未来奖励不会有益于代理程序。实际上，如果代理程序给予多次试验学习，它甚至会给Q-value带来负面影响！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可选问题 9\n",
    "*在项目中有两个特点使得未来奖励在这个Q-Learning算法无效。一个特点是关于*智能出租车*本身，另一个是关于环境。你能指出它们是什么以及为什么未来奖励不会在这个项目中起效？*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**回答：**\n",
    "\n",
    "本项目的环境特点是每一轮训练/测试中，小车的起始位置和终止位置都是随机的，两者之间的路线距离也是随机的。这使得每次训练的场景都与上次不同，而不同场景的路线奖励是不能通用的。只有在起点和终点始终固定的情况下，未来奖励才能促进学习。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **注意**:当你写完了所有的代码，并且回答了所有的问题。你就可以把你的 iPython Notebook 导出成 HTML 文件。你可以在菜单栏，这样导出**File -> Download as -> HTML (.html)**把这个 HTML 和这个 iPython notebook 一起做为你的作业提交。"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
